<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aissaoui Abdelmalik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ordonnancement d&amp;#39;une flux de fabrication de type job shop</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tazeghouisse Hicham</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation de délai de fabrication dans un atelier 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Dounia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Problème de lot sizing avec maximisation du revenu</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Midni Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Intégration des flux de retour avec la planification de production</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Arab Selma</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Problème de dimensionnement de lots à capacité intégrant des stratégies de maintenance et le retour des produits</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Charif Hamdi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation de la sous-traitance d&amp;#39;un matériel sous-un partage d&amp;#39;informations imprécises</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Berghout Nedjma</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation  intégrée production sous-traitance maintenance qualité</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Derradji Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Programmation linéaire en nombres entiers et propagation de contraintes pour le problème d&amp;rsquo;ordonnancement à contrainte énergétique</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ghennam Wassila</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">L&amp;#39;utilisation des Réseaux Bayésiens Dynamique pour la prédiction de la RUL</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yahiaoui Yahia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application d&amp;rsquo;une approche lean manufacturing basée sur le développement durable  et  la production verte</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouali Mouna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modélisation et optimisation d&amp;rsquo;une chaine d&amp;rsquo;approvisionnement. Application dans une entreprise algérienne</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Toulilit Hasna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aide à la décision pour la maîtrise des commandes clients dans une situation incertaine</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merdaci Ahlam</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Démarche de réduction des risques et incertitude dans un système de production</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Oulmane Samiha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluation des couts des risques dans un système de production</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Saadi Nesrine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Elaboration d&amp;rsquo;une plateforme informatique pour la méthode d&amp;rsquo;aide a la décision multicritères &amp;laquo; WASPAS Floue &amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ramdhane Amina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Elaboration d&amp;rsquo;une plateforme informatique pour la méthode d&amp;rsquo;aide a la décision multicritères &amp;laquo; COPRAS Floue &amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tebba Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Choix multicritères d&amp;rsquo;une zone pour implantation d&amp;rsquo;un complexe touristique</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Touatit Kenza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Hybridation ARAS/CRITIC Floue pour évaluer les actions avec sensibilité</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boultif Bahia</style></author><author><style face="normal" font="default" size="100%">Meddour Hasna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation d&amp;rsquo;un flux industriel de type job shop par une méthode approchée</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belhissat  Halima</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Problème de lot sizing avec Remanufacturing</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamouda Karima</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Développement d&amp;rsquo;un système d&amp;rsquo;information et d&amp;rsquo;aide a la décision pour l&amp;rsquo;élaboration d&amp;rsquo;un programme de recyclage d&amp;rsquo;équipements électroniques en Algérie : Cas des Micro-ordinateurs</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yahiaoui Yahia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application d&amp;rsquo;une approche lean manufacturing basée sur le développement durable  et  la production verte</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouali Mouna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modélisation et optimisation d&amp;rsquo;une chaine d&amp;rsquo;approvisionnement. Application dans une entreprise algérienne</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Toulilit Hasna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aide à la décision pour la maîtrise des commandes clients dans une situation incertaine</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boudibi Rania</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">RCM++ pour l&amp;rsquo;élaboration d&amp;rsquo;un plan de maitrise des risques pour un processus hospitalier &amp;laquo; préparation d&amp;rsquo;un moniteur de dialyse &amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yahyaoui Teldja</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">RCM++ pour l&amp;rsquo;élaboration d&amp;rsquo;un plan de maitrise des risques pour un processus hospitalier &amp;laquo; déroulement d&amp;rsquo;une séance de dialyse &amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mebarki Amel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Elaboration d&amp;#39;un tableau de bord connaissances</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Driass Walid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Plateforme de Gestion électronique des documents</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamad Yamina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à l&amp;#39;optimisation des stratégies de maintenance des systèmes complexes sous contraintes de ressources</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Day Nor-Elyakine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Algorithme génétique pour l&amp;rsquo;optimisation de la formation des cellules de production</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boudaouad Wassila</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation d&amp;rsquo;avance et retards des jobs d&amp;rsquo;un ordonnancement de production et de maintenance (Préventive et corrective)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boudarn Mebarka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Algorithme génétique pour l&amp;rsquo;optimisation multi critère de l&amp;rsquo;ordonnancement dans l&amp;rsquo;industrie pharmaceutique</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Djaghrouri Zina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">programmation avec Matlab de la méthode EDD sur un problème d&amp;rsquo;ordonnancement job shop</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chatouf Sihem</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ordonnancement de la production Job shop avec ressources consommable</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Louafi Manel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Data Mining pour l&amp;rsquo;acquisition des connaissances. Master en Génie Industriel option &amp;laquo;Management Industriel&amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Madjour Hassina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supervision d&amp;rsquo;un système industriel, Master en Génie Industriel option &amp;laquo;Génie Industriel&amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abbes Fouad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Système neuro-flou pour la surveillance industrielle</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Mouss Nadia Kinza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Le Management des Connaissances Pour les Systèmes de Production, ISBN-10 : 3841674321 / ISBN-13 : 978-3841674326</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.amazon.co.uk/Management-Connaissances-Pour-Syst%C3%A8mes-Production/dp/3841674321/ref=sr_1_1?qid=1560625623&amp;refinements=p_27%3ASamia+Aitouche&amp;s=books&amp;sr=1-1</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Editions universitaires européennes</style></publisher><pages><style face="normal" font="default" size="100%">336 pages</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Le projet de notre ouvrage a consisté au développement d’un système de e_management de connaissances e-KnowSphere 1.0, utilisant la méthode proposée SKACICM, appliquée au système industriel SCIMAT Batna, Algérie. Elle est le résultat d’une hybridation de SKANDIA adaptée (ASKANDIA), du modèle CICM amélioré (ACICM), de la veille économique et de l’aide à la décision. e-KnowSphere 1.0 est une plateforme flexible permettant ; (1) le management de connaissances, de l’innovation et de la propriété intellectuelle ; (2) le management des compétences ; la veille économique via un générateur de e-sondage universel (STL 1.0) ; l’aide à la décision dans un milieu perturbé et tableaux de bord (SIAD SCIMAT 2.0). La plateforme a permis une instauration d’une nouvelle culture ; la collaboration et le partage de connaissances, pour la sauvegarde des expertises et l’amélioration des performances.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Développement d&amp;rsquo;une Approche hybride multi- critères basée clustering pour la résolution d&amp;rsquo;un problème de distribution de produits</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lanabi Ahmed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Exploitation des indicateurs de Performances dans une entreprise cas Entreprise Biskria ciment</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouaicha Afaf</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Programmation de la méthode du simplexe révisé</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" 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face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentoumi Hamza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">la maintenance prédictive dans l&amp;rsquo;industrie</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dilmi Abdennour</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reconnaissance de la parole basée sur les techniques MFCC et DTW</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chouhal Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Contribution à la surveillance des systèmes de production par les systèmes Multi-Agents Collectifs</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermanr Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Télé- contrôle et les techniques d&amp;#39;IA pour un système de conduite a distance</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aila Med Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Diagnostic d&amp;#39;une vanne d&amp;#39;admission d&amp;#39;air</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kherbache Abdelghani</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-class SVM: Supervised Classification Technique for High-dimensional Data: Applications to production system monitoring</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Louchene Housseim Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Extreme learning machines for faults classification and regression of production systems</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Megaache Zineb</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance of deep convolutional neural networks for the production systems monitoring</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chelaghma Sara</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Navigation d&amp;#39;un robot mobile sous contraintes d&amp;#39;obstacles</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bounouara Sara</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Implémentation d&amp;#39;une application pour distribues les informations des problèmes d&amp;#39;ordonnancements</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karrech Azzeddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application de la technique d&amp;#39;apprentissage approfondie &amp;quot;deep learning &amp;quot; au pronostic a base de données</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Djenane Asma</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rédiction de la vitesse de progression de forage pétrolier (ROP) à laide l&amp;#39;algorithme des forêts aléatoires distribué</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bachiri Zakaria</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Supervision d&amp;rsquo;un refroidisseur d&amp;rsquo;un four rotatif d&amp;rsquo;une cimenterie utilisant PCS 7</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouzidi Seif Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Réalisation d&amp;rsquo;un système de maintenance prédictive utilisant RapideMiner</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bensakhria Hocine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Utilisation des Réseaux de Neurones Artificiels pour la supervision d&amp;rsquo;un processus industriel</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zender Ilyes</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Processus Gaussien, pour la prévision des stocks</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hafani Raoua</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contrôle de qualité des produits alimentaires par réseaux de neurones artificiels.</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chettouh Amina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Prédiction de la consommation de l&amp;rsquo;énergie électrique avec la technique Extrême Learning Machines</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhadi Adel</style></author><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An approach Multi-Agent Systems and emergence for maintenance, ISBN-10 : 6133995718 / ISBN-13 : 978-6133995710</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.amazon.fr/Approach-Multi-Agent-Systems-Emergence-Maintenance/dp/6133995718</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%"> LAP LAMBERT Academic Publishing</style></publisher><pages><style face="normal" font="default" size="100%">144 pages</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The main objective of our book is to propose hybrid approaches based on MAS on one side, and the exploitation of emergences methods such as Genetic Algorithms (GA) and the algorithms of Artificial Immune System (AIS) to better integrate systematic preventive maintenance policies in scheduling workshops. The objective is to minimize the time of executions during the course of scheduling. We use advanced operators; the random key for encoding, the selection of classification, the uniform crossover and single point mutation. Furthermore, we have defined a new affinity calculation procedure within the FSHMAIA approach. This procedure is based on the calculation of similarity ratio for each antibody. For this, we have proposed an algorithm based on four criterions for calculating the ratio of similarity. We also evaluated the adaptations of some well-known heuristics, including Johnson (m / 2, m / 2) NEHH, PCDT and PLDT, The originality of this work lies in the use of MAS with GA and AIS in the integration of systematic preventive maintenance policies in a hybrid flow shop scheduling.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mehanaoui R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation de la durabilité d&amp;rsquo;un système de Production hybride manufacturing/remanufacturing dans la chaine logistique à boucle fermée</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouakkaz A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ordonnancement d&amp;rsquo;un Système de production pour une Gestion Optimale d&amp;rsquo;Energie</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouzidi H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à l&amp;rsquo;amélioration de mesure de la performance de la chaine logistique d&amp;rsquo;un système de production complexe par une maitrise conjointe du lean sigma et la théorie des contraintes</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gacem A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modèles intégrés de production, de sous-traitance, de qualité et de maintenance dans une chaîne logistique en boucle fermée</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benchadi Y</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Amélioration du DDMRP (Demand Driven MRP)</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benfriha L</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Gestion des approvisionnements et des échanges de produits équivalents dans les réseaux logistiques multi niveau : Coopération plusieurs entreprises</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belferhi Amor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">L&amp;rsquo;apport des réseaux d&amp;rsquo;automates stochastiques pour la modélisation et l&amp;rsquo;évaluation des performances des systèmes de production a grand espace d&amp;rsquo;état</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouhidel lynda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à la Prévision a Base d&amp;rsquo;Analyse Stochastique Multicritère Participative, des Performances d&amp;rsquo;un Système de production Industriel</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Smaili Yamina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Techniques d&amp;rsquo;Amélioration de la Traçabilité pour l&amp;rsquo;Optimisation d&amp;rsquo;une Chaîne Logistique</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zeghdani S</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à l&amp;rsquo;évaluation fonctionnelle des systèmes industriels pour la maitrise des risques</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mehanaoui R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposition d&amp;rsquo;un système de traçabilité et location à l&amp;rsquo;aide des réseaux sans fils</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boutarfa Youcef</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Lot-sizing avec optimisation des profits (&amp;quot;revenue management&amp;quot;).</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2017 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belbedj Farid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Intégration des problèmes de lot Sizing et d&amp;rsquo;ordonnancement dans les ateliers type Flow Shop</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2017 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Soltani Mohyiddine</style></author><author><style face="normal" font="default" size="100%">Aouag Hichem</style></author><author><style face="normal" font="default" size="100%">Mouss Mohamed Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Enhancement of the competitiveness and the financial capability of a manufacturing process through a new Value Stream Mapping approach, ISSN / e-ISSN 1746-6474 / 1746-6482</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Productivity and Quality Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijpqm</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author><author><style face="normal" font="default" size="100%">Bensakhria Mohamed</style></author><author><style face="normal" font="default" size="100%">Abdelhamid Samir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN  1942-3608 / 1942-3594</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Applied Evolutionary Computation (IJAEC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/323466976_Efficient_Golden-Ball_Algorithm_Based_Clustering_to_solve_the_Multi-Depot_VRP_With_Time_Windows</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 9</style></volume><pages><style face="normal" font="default" size="100%">1-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.</style></abstract><issue><style face="normal" font="default" size="100%">Issue 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author><author><style face="normal" font="default" size="100%">Abdelhamid Samir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN  1757-585 / 1757-5869</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Mathematics in Operational Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 13</style></volume><pages><style face="normal" font="default" size="100%">30-48</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. For this purpose, we propose in this study a decision support system which aims to optimise the classical capacitated vehicle routing problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the multi-depot heterogeneous vehicle routing problem with time window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimisation frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.</style></abstract><issue><style face="normal" font="default" size="100%">Issue 3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Senoussi Ahmed</style></author><author><style face="normal" font="default" size="100%">Dauzère-Pérès Stéphane</style></author><author><style face="normal" font="default" size="100%">Brahimi Nadjib</style></author><author><style face="normal" font="default" size="100%">Penz Bernard</style></author><author><style face="normal" font="default" size="100%">Moussa Nadia Kinza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Heuristics Based on Genetic Algorithms for the Capacitated Multi Vehicle Production Distribution Problem, ISSN / e-ISSN 0305-0548 / 1873-765X</style></title><secondary-title><style face="normal" font="default" size="100%">Computers &amp; Operations Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/abs/pii/S0305054818301011</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 96</style></volume><pages><style face="normal" font="default" size="100%">108-119</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, we consider the integration of production, inventory and distribution decisions in a supply chain composed of one production facility supplying several retailers located in the same region. The supplier is far from the retailers compared to the distance between retailers. Thus, the traveling cost of each vehicle from the supplier to the region is assumed to be fixed and there is a fixed delivery (service) cost for each visited retailer. The objective is to minimize the sum of the costs at the production facility and at the retailers. The problem is more general than the One-Warehouse Multi-Retailer problem and is a special case of the Production Routing Problem. Five heuristics based on a Genetic Algorithm are proposed to solve the problem. In particular, three of them include the resolution of a Mixed Integer Program as subproblem to generate new individuals in the population. The results show that the heuristics can find optimal solutions for small and medium size instances. On large instances, the gaps obtained by the heuristics in less than 300&amp;nbsp;s are better than the ones obtained by a standard solver in two hours.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hadri Abdelkader</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Approach for Parallel Machine Scheduling Problem</style></title><secondary-title><style face="normal" font="default" size="100%">International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brahmi Samira</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Control of inhalation anesthesia using fuzzy logic</style></title><secondary-title><style face="normal" font="default" size="100%">Industrial Engineering and Operations Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brahmi Samira</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supervision of an Industrial Process of Milk Production using Fuzzy Logic</style></title><secondary-title><style face="normal" font="default" size="100%">Industrial Engineering and Operations Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relative bibliometrics of intellectual capital and knowledge management in SCOPUS</style></title><secondary-title><style face="normal" font="default" size="100%">Industrial Engineering and Operations Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information, Process, and Knowledge Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouhafna Khyreddine</style></author><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A strategic method for steering a photovoltaic generator</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information, Process, and Knowledge Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Djelloul Imene</style></author><author><style face="normal" font="default" size="100%">Sari Zaki</style></author><author><style face="normal" font="default" size="100%">Latreche Khaled</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems, ISSN / e-ISSN 0924-669X / 1573-7497</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Intelligence volume</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007/s10489-017-1132-8</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 48</style></volume><pages><style face="normal" font="default" size="100%">3143–3160</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function “PDF” that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach “Variable Learning Rate Gradient Descent with Bayes’ Maximum Likelihood formula” VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.</style></abstract><issue><style face="normal" font="default" size="100%">Issue 5</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Grieb Ouahab</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supervision de Robot Manipulateur virtuel  par Les réseaux de neurones et les réseaux de Petri</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2019 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rahmouni Brahim</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mise en place d&amp;rsquo;un système de contrôle et de supervision pour le champ pétrolier de Gassi El Agreb</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Un Système d&amp;rsquo;aide à la décision appliqué au GPS piloté par la voix humaine &amp;laquo; cas de distribution de produits &amp;raquo;</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Soussa Abdelkrim</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution au Diagnostic des Pannes pour les Systèmes Eoliens</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Menzer Hilal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Dialogue Homme Machine appliqué à la langue arabe standard (speech To speech STS):Application serveur vocal d&amp;rsquo;une banque</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouhafna Kheyreddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Approche de l&amp;rsquo;usine intelligente dans l&amp;rsquo;industrie 4.0, en utilisant le concept d&amp;rsquo;internet objets</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 Journées des doctorants, Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition</style></title><secondary-title><style face="normal" font="default" size="100%">ICNLSP 2018,  International Conference on Natural Language and Speech Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/325637507_Bi-directional_recurrent_end-to-end_neural_network_classifier_for_spoken_Arab_digit_recognition</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Control of inhalation anesthesia using fuzzy logic</style></title><secondary-title><style face="normal" font="default" size="100%"> IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%"> http://ieomsociety.org/paris2018/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supervision of an Industrial Process of Milk Production using Fuzzy Logi  </style></title><secondary-title><style face="normal" font="default" size="100%"> IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ieomsociety.org/paris2018/papers/321.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:120.04px;top:454.972px;18.4px;sans-serif;transform:scaleX(0.918221);&quot;&gt;Because we usually deal with real - world systems with real - world constraints (cost, computer resources, &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:475.772px;18.4px;sans-serif;transform:scaleX(0.912603);&quot;&gt;size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:496.972px;18.4px;sans-serif;transform:scaleX(0.85495);&quot;&gt;is the one that should be used. Experts usually rely on common sense when they solve problems. They &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:518.172px;18.4px;sans-serif;transform:scaleX(0.925427);&quot;&gt;also use vague and ambiguous terms. Other experts have no difficulties with understanding and &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:538.972px;18.4px;sans-serif;transform:scaleX(0.872119);&quot;&gt;interpreting this statement because they have the background to hearing problems described like this. &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:560.172px;18.4px;sans-serif;transform:scaleX(0.886221);&quot;&gt;However, a knowledge engineer would have difficulties providing a computer with the same level of &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:581.372px;18.4px;sans-serif;transform:scaleX(0.910475);&quot;&gt;understanding. In a complex industrial process, how can we represent expert knowledge that uses vague &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:602.606px;18.4px;sans-serif;transform:scaleX(0.868693);&quot;&gt;and fuzzy terms in a computer to control it? In this work, the application is developed to control the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:623.406px;18.4px;sans-serif;transform:scaleX(0.918028);&quot;&gt;pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:644.606px;18.4px;sans-serif;transform:scaleX(0.902513);&quot;&gt;approach based on expert knowledge and fuzzy logic&lt;/span&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposal of a flexible and universal survey generator for a Business Intelligence</style></title><secondary-title><style face="normal" font="default" size="100%">  CEIT 2018 6th International Conference on Control Engineering and Information Technologies 25-27 Octobre Istambul, Turkie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.aconf.org/conf_161367.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Management des compétences dans l&amp;rsquo;entreprise et sa relation avec la formation</style></title><secondary-title><style face="normal" font="default" size="100%"> ISKO Maghreb 2018 (International Society for Knowledge Organization 25-26 Novembre, Bejaia, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%"> https://isko-maghreb2018.loria.fr/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relative scientometric analysis of knowledge management journals in SCOPUS </style></title><secondary-title><style face="normal" font="default" size="100%">PAIS 2018  The 3rd International Conference on Pattern Analysis and Intelligent Systems 24-25 Octobre Tebessa, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%"> https://hal.archives-ouvertes.fr/hal-01970974/document</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Latreche Khaled</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relative bibliometrics of intellectual capital and knowledge management in SCOPUS  ISSN: 2169-876    ISBN: 978-1-5323-5944-6-3</style></title><secondary-title><style face="normal" font="default" size="100%">IOEM2018. Industrial Engineering and Operations Management 26-27Juillet Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ieomsociety.org/paris2018/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouhafna Khereydine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A strategic method for steering a photovoltaic generator ISSN: 2308-4375, ISBN: 978-1-61208-620-0</style></title><secondary-title><style face="normal" font="default" size="100%">EKNOW 2018 International Conference on Information, Process, and Knowledge Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.thinkmind.org/index.php?view=article&amp;articleid=eknow_2018_3_30_68009</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">50-55, 25-29 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">
	Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge ISSN: 2169-876    ISBN: 978-1-5323-5944-6


 

</style></title><secondary-title><style face="normal" font="default" size="100%">EKNOW 2018 International Conference on Information, Process, and Knowledge Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.thinkmind.org/index.php?view=article&amp;articleid=eknow_2018_3_30_68009</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">44-49, 25-29 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author><author><style face="normal" font="default" size="100%">Bensakhria Mohamed</style></author><author><style face="normal" font="default" size="100%">Abdelhamid Samir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN 1942-3594 / 1942-3608</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Applied Evolutionary Computation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://pdfs.semanticscholar.org/03af/ae92ff6294d650339e9122c883b16a36e35a.pdf </style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">1-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span class=&quot;margin-bottom-10&quot; id=&quot;ctl00_ctl00_cphMain_cphSection_lblAbstract&quot;&gt;In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author><author><style face="normal" font="default" size="100%">Abdelhamid Samir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN 1757-5850 / 1757-5869</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Mathematics in Operational Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 13</style></volume><pages><style face="normal" font="default" size="100%">30-48</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. To this purpose, we propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the Multi-Depot Heterogeneous Vehicle Routing Problem with Time Window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimization frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.</style></abstract><issue><style face="normal" font="default" size="100%"> Issue 3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guezouli Lahcene</style></author><author><style face="normal" font="default" size="100%">Abdelhamid Samir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> A New Multi-Criteria Solving Procedure for Multi-Depot FSM-VRP with Time Window, ISSN / e-ISSN 2155-4153 /  2155-4161</style></title><secondary-title><style face="normal" font="default" size="100%"> International Journal of Applied Industrial Engineering IJAIE</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.igi-global.com/gateway/article/173693#pnlRecommendationForm</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">1-18</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span class=&quot;margin-bottom-10&quot; id=&quot;ctl00_ctl00_cphMain_cphSection_lblAbstract&quot;&gt;One of the most important combinatorial optimization problems is the transport problem, which has been associated with many variants such as the HVRP and dynamic problem. The authors propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that the authors call the Multi-Depot HVRPTW by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and the authors solve this problem by proposing a new scheme based on a genetic algorithm heuristics that they will specify later. Computational experiments with the benchmark test instances confirm that their approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MDHVRPTW problem and hence has a great potential.&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Djelloul Imene</style></author><author><style face="normal" font="default" size="100%">Sari Zaki</style></author><author><style face="normal" font="default" size="100%">Latreche Khaled</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems ISSN /e-ISSN  0924-669X / 1573-7497</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Intelligence</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://dl.acm.org/doi/abs/10.1007/s10489-017-1132-8</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 48</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function &quot;PDF&quot; that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach &quot;Variable Learning Rate Gradient Descent with Bayes' Maximum Likelihood formula&quot; VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.</style></abstract><issue><style face="normal" font="default" size="100%">Issue 5</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Berghout Tarek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposition d&amp;rsquo;un système distribué de diagnostic et pronostic basé sur les services web et ELM</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2019 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hadjidji Nadjiha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Elaboration d&amp;rsquo;un Module de Diagnostic sous Contraintes dans le cadre d&amp;rsquo;une Stratégie de Commande Tolérante aux Défauts</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 2ème Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Système intelligent d&amp;#39;aide à la décision pour la prédiction et l&amp;#39;optimisation des paramètres d&amp;#39;un forage pétrolier</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mebarki Nassima</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vers un pronostic de défaillances des systèmes dynamiques complexes par les Bond Graphs</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haboussi  Amar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Une plate-forme e-maintenance par les systèmes Immunitaire Artificiels</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guettafi Salah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Une nouvelle approche pour la sécurité des Systèmes de Contrôle et d&amp;#39;Acquisition de Données SCADA</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaggoune Khaled</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pronostic industriel distribué des systèmes complexes à base d&amp;rsquo;agents</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellal Salah Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pronostic industriel distribué des systèmes complexes à base d&amp;rsquo;agents</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamidene Rabie</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Conception d&amp;#39;un système d&amp;rsquo;aide à la maintenance collaborative basée sur la réalité mixte</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdessamed Ahmed Adnane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à la mise en place d&amp;rsquo;une solution distribuée intelligente pour le choix d&amp;rsquo;une technique d&amp;rsquo;ordonnancement adéquate</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zaidi Ammar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution à la mise en place d&amp;rsquo;une solution distribuée intelligente pour le choix d&amp;rsquo;une technique d&amp;rsquo;ordonnancement adéquate</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kebbas Med Salah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Impact du diagnostic sur l&amp;rsquo;évaluation des performances d&amp;rsquo;un système dynamique tolérant aux fautes</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre  Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaicha Sonia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Stratégie de la Supervision Industrielle pour la Conduite d&amp;rsquo;un Système de Production Complexe : Vers une architecture Centralisée</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre  Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rahmani Abdellah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d&amp;rsquo;Objets dans une image dans un Contexte Industriel</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 1ère Journées des doctorants 14 Octobre  Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zereg Heda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modélisation et Optimisation des systèmes renouvelables hybrides pour les sites autonomes</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018  Journées des doctorants 14 Octobre  Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Berghout Tarek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposition d&amp;rsquo;un système distribué de diagnostic et pronostic basé sur les services web et ELM</style></title><secondary-title><style face="normal" font="default" size="100%">JD'2018 2ème Journées des doctorants 14 Octobre  Batna, Algérie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Louchene Houssem Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance of Deep Convolutional Neural Networks for the Photovoltaic Generator Monitoring</style></title><secondary-title><style face="normal" font="default" size="100%">CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Algéria</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Megaache Zineb</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Extreme learning machines for faults classification and regression of photovoltaic systems</style></title><secondary-title><style face="normal" font="default" size="100%">CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Algéria</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamiden Rabie</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vers un système de Réalité Augmentée Mobile pour une Maintenance Préventive Moderne lors d&amp;#39;une inspection</style></title><secondary-title><style face="normal" font="default" size="100%">Ecole de printemps 2017 (IVAR School) au niveau de CERIST Alger </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouzid Faycal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Numerical simulation of a high responsivity ultraviolet photodetector</style></title><secondary-title><style face="normal" font="default" size="100%">ICPR International Conference on Photonics Research (Interphotonics-2018</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/333106229_Numerical_simulation_of_a_high_responsivity_ultraviolet_photodetector</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Ultraviolet photodetectors (UV PDs) are important devices that can be used in various scientific, commercial and military applications. In this work, a numerical simulation study of nitride-based &quot;p+-n-n+&quot; front illuminated UV PD, designed with an aluminum composition achieving a true solar blindness, has been reported using the commercially available Atlas package from Silvaco international. It has been found that the proposed structure is sensitive to the UV rays in the wavelength range investigated, where the spectral response reaches its maximum then declines sharply with a good performance of solar-blind at room temperature and zero-bias voltage. Furthermore, it was also found by simulating the evolution of the current density according to different wavelengths of the incident radiation that the designed structure is able to act as a wavelength selector device.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Decision support system for piloting an oil drilling process: ROP prediction</style></title><secondary-title><style face="normal" font="default" size="100%"> ICATS'17 - International Conference on Automatic control, Telecommunications and Signals</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/330225942_Decision_support_system_for_piloting_an_oil_drilling_process_ROP_prediction</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning</style></title><secondary-title><style face="normal" font="default" size="100%">ICTO 2018 / MENCIS2018 - Information and Communication Technologies in Organizations and Society / Middle East &amp; North Africa Conference for Information Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/330225940_Rate_of_penetration_ROP_prediction_in_oil_drilling_based_on_ensemble_machine_learning</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">volume 35</style></volume><pages><style face="normal" font="default" size="100%"> 537-549</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning</style></title><secondary-title><style face="normal" font="default" size="100%">ICT for an Inclusive World </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007%2F978-3-030-34269-2_37</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer, Cham</style></publisher><volume><style face="normal" font="default" size="100%">volume 35</style></volume><pages><style face="normal" font="default" size="100%"> 537-549</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bouhafna Khyreddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A strategic method for steering a photovoltaic generator ISSN / ISBN  2308-4375 / 978-1-61208-620-0</style></title><secondary-title><style face="normal" font="default" size="100%">eKNOW 2018 : The Tenth International Conference on Information, Process, and Knowledge Management 25-29 March Rome, Italy</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.thinkmind.org/index.php?view=article&amp;articleid=eknow_2018_3_40_68010</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">50-55</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">T There are several forms of electricity generation, first, by burning fuels, such as coal, natural gas or oil, which have an effect on the atmosphere, especially increasing greenhouse gases, or, second, from renewable sources, such as wind, hydro and solar, which are clean and renewable sources of energy. Our work focuses on solar sources, especially photovoltaics; we have treated the steering part of photovoltaic generators using artificial intelligence methods, specifically, case-based reasoning. The system we have built generates actions to be applied to the generator based on its current state and reasoning from previous cases recorded in the case base.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Logic Control System in Medical Field</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Industrial Engineering and Operations Management, 26-27 July Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ieomsociety.org/paris2018/papers/73.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:120px;top:586.777px;18.4px;serif;transform:scaleX(1.01236);&quot;&gt;Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists &lt;/span&gt;&lt;span style=&quot;left:120px;top:607.771px;18.4px;serif;transform:scaleX(0.994777);&quot;&gt;who gather around the &quot;theories of uncertainty&quot;. &lt;/span&gt;&lt;span style=&quot;left:477.199px;top:607.771px;18.4px;serif;transform:scaleX(0.992843);&quot;&gt;The ramifications of fuzzy logic extend to fields as varied &lt;/span&gt;&lt;span style=&quot;left:120px;top:628.968px;18.4px;serif;transform:scaleX(1.00995);&quot;&gt;as control, the diagnosis of complex systems, bioinformatics, decision support&lt;/span&gt;&lt;span style=&quot;left:701.403px;top:628.968px;18.4px;serif;transform:scaleX(1.021);&quot;&gt;. Research work is done in &lt;/span&gt;&lt;span style=&quot;left:120px;top:649.962px;18.4px;serif;transform:scaleX(1.0026);&quot;&gt;bio-&lt;/span&gt;&lt;span style=&quot;left:149.403px;top:649.962px;18.4px;serif;transform:scaleX(1.02132);&quot;&gt;informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was &lt;/span&gt;&lt;span style=&quot;left:120px;top:670.957px;18.4px;serif;transform:scaleX(1.01438);&quot;&gt;carried out under general&lt;/span&gt;&lt;span style=&quot;left:307.202px;top:670.957px;18.4px;serif;transform:scaleX(1.00873);&quot;&gt; anesthesia with propofol.&lt;/span&gt;&lt;span style=&quot;left:498.801px;top:670.957px;18.4px;serif;transform:scaleX(1.04002);&quot;&gt; We use in our work som&lt;/span&gt;&lt;span style=&quot;left:689.388px;top:670.957px;18.4px;serif;transform:scaleX(1.01326);&quot;&gt;e parameters influencing the &lt;/span&gt;&lt;span style=&quot;left:120px;top:692.154px;18.4px;serif;transform:scaleX(1.01807);&quot;&gt;patient's condition during the course of surgery to control their effects on the depth of general&lt;/span&gt;&lt;span style=&quot;left:820.598px;top:692.154px;18.4px;serif;transform:scaleX(0.990173);&quot;&gt; anesthesia &lt;/span&gt;&lt;span style=&quot;left:120px;top:713.148px;18.4px;serif;transform:scaleX(0.988308);&quot;&gt;by fuzzy logic.&lt;/span&gt;&lt;span style=&quot;left:228.799px;top:713.148px;18.4px;serif;transform:scaleX(0.990507);&quot;&gt; In this paper, we propose using the environment MatLab R2017a &lt;/span&gt;&lt;span style=&quot;left:711.799px;top:713.148px;18.4px;serif;transform:scaleX(0.988261);&quot;&gt;to realize this application. &lt;/span&gt;&lt;span style=&quot;left:120px;top:734.345px;18.4px;serif;transform:scaleX(0.992452);&quot;&gt;A compariso&lt;/span&gt;&lt;span style=&quot;left:213.803px;top:734.345px;18.4px;serif;transform:scaleX(0.986391);&quot;&gt;n between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy &lt;/span&gt;&lt;span style=&quot;left:120px;top:755.339px;18.4px;serif;transform:scaleX(1.01986);&quot;&gt;logic of our work is done. &lt;/span&gt;&lt;span style=&quot;left:319.198px;top:755.339px;18.4px;serif;transform:scaleX(1.01597);&quot;&gt;This study will serve as a guide in developing new anesthesia control systems &lt;/span&gt;&lt;span style=&quot;left:120px;top:776.334px;18.4px;serif;transform:scaleX(0.999188);&quot;&gt;for patients.&lt;/span&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automation and Advanced System Control of an Industrial Production Process using Fuzzy Logic</style></title><secondary-title><style face="normal" font="default" size="100%">CISTEM'18 3th International Conference on Electrical Sciences and Technologies in Maghreb 28-31 October Algiers, Algeria</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/330589559_Automation_and_Advanced_System_Control_of_an_Industrial_Production_Process_using_Fuzzy_Logic</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or fault-tolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical, advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this context, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaggoune Khaled</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Agent-based prognostic function for multicomponents system with stochastic dependence </style></title><secondary-title><style face="normal" font="default" size="100%"> ICASS 2018International Conference on Applied Smart Systems Medea, Algeria</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/331453980_Agent-based_prognostic_function_for_multi-components_system_with_stochastic_dependence</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade framework, the results indicate that the precision of the component RUL is enhanced.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hamidane  Rabie</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Implementation of a preventive maintenance system, based on augmented reality</style></title><secondary-title><style face="normal" font="default" size="100%">PAIS'2018 3rd  International Conference on Pattern Analysis and Intelligent Systems 7-28 Octobre, Universite de Tebessa</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal.archives-ouvertes.fr/hal-01970974/document</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">1-6 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this article, we present ARPM (Augmented Reality-based Preventive Maintenance) system, which aims at offering to the technician of a Cement Factory a virtual assistance in real time using various forms of 3D models, images or even texts, in order to help him to maintain and inspect his equipment. This system not only offers the possibility of reducing costs of the preventive maintenance, but also allows monitoring and even anticipating failures. In order to ensure a reliable maintenance operation, we adapted our system to be compatible with the CMMS system (Computerized Maintenance Management System) already exists in the Cement factory</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections</style></title><secondary-title><style face="normal" font="default" size="100%"> IntelliSys2018.  International Conference on Intelligent Systems, London, United Kingdom</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/330901639_Moving_From_unknown_to_known_feature_spaces_based_on_TS-ELM_with_random_kernels_and_connections</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zerari Naima</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition</style></title><secondary-title><style face="normal" font="default" size="100%">ICNLSP 2018, The 3rd International Conference on Natural Language and Speech Processing, Algiers</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal.inria.fr/hal-01835440/document</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezki Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using a data mining CRISP-DM methodology for rate of penetration (ROP) prediction in oil well drilling</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal-amu.archives-ouvertes.fr/hal-02482291/document</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:120.04px;top:465.223px;18.4px;sans-serif;transform:scaleX(0.895548);&quot;&gt;This work describes an implementation of a oil drilling data mining project approach based on the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:486.223px;18.4px;sans-serif;transform:scaleX(0.934819);&quot;&gt;CRISP-DM methodology. Recent real-world data were collected from a from historical data of an actual &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:507.423px;18.4px;sans-serif;transform:scaleX(0.951083);&quot;&gt;oil drilling process in Hassi Terfa field, situated in South of Algeria. During the modelling process. The &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:528.423px;18.4px;sans-serif;transform:scaleX(0.893623);&quot;&gt;goal was to predict the rate of penetration (ROP) based on input parameters that are commonly used at the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:549.423px;18.4px;sans-serif;transform:scaleX(0.926122);&quot;&gt;oil drilling process (weight on bit, rotation per minute, mud density , spp, ucs) . At the data preparation &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:570.624px;18.4px;sans-serif;transform:scaleX(0.914872);&quot;&gt;stage, the data were cleaned and variables were selected and transformed. Next, at the modeling stage, a &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:591.624px;18.4px;sans-serif;transform:scaleX(0.908659);&quot;&gt;regression approach was adopted, where three learning methods were compared : Artificial Neural &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:612.824px;18.4px;sans-serif;transform:scaleX(0.880932);&quot;&gt;Network, Support Vector Machine and Random Forest. The best learning model was obtained by the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:633.824px;18.4px;sans-serif;transform:scaleX(0.906409);&quot;&gt;Random Forest method, which presents a high quality coefficient of correlation. The results of the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:654.824px;18.4px;sans-serif;transform:scaleX(0.858435);&quot;&gt;experiment show that the proposed approach is able to effectively use the engineering data to provide &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:676.023px;18.4px;sans-serif;transform:scaleX(0.933827);&quot;&gt;effective prediction ROP, the ROP prediction allows the drilling engineer to select the best combination &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:697.059px;18.4px;sans-serif;transform:scaleX(0.885888);&quot;&gt;of the input parameters to have a better advancement&lt;/span&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relative bibliometrics of intellectual capital and knowledge management in SCOPUS</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ieomsociety.org/paris2018/papers/450.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:120.04px;top:406.934px;18.4px;sans-serif;transform:scaleX(0.875636);&quot;&gt;The purpose of this work is &lt;/span&gt;&lt;span style=&quot;left:340.245px;top:406.934px;18.4px;sans-serif;transform:scaleX(0.889639);&quot;&gt;a bibliometric analysis of the evolution of knowledge management (KM) &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:428.022px;18.4px;sans-serif;transform:scaleX(0.874323);&quot;&gt;and &lt;/span&gt;&lt;span style=&quot;left:155.018px;top:428.02px;18.4px;sans-serif;transform:scaleX(0.97402);&quot;&gt;intellectual capital (IC) as scientific fields in time. &lt;/span&gt;&lt;span style=&quot;left:579.82px;top:428.02px;18.4px;sans-serif;transform:scaleX(0.957214);&quot;&gt; The used data was all articles having &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:449.109px;18.4px;sans-serif;transform:scaleX(0.918697);&quot;&gt;“intellectual capital” or “knowledge management” in their title from SCOPUS database exported in &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:470.197px;18.4px;sans-serif;transform:scaleX(1.02529);&quot;&gt;Excel &lt;/span&gt;&lt;span style=&quot;left:171.65px;top:470.197px;18.4px;sans-serif;transform:scaleX(0.935724);&quot;&gt;and R &lt;/span&gt;&lt;span style=&quot;left:226.072px;top:470.199px;18.4px;sans-serif;transform:scaleX(0.871372);&quot;&gt;language is used to compute the indexes. The analysis is using the indexes (H index, N &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:491.287px;18.4px;sans-serif;transform:scaleX(0.917936);&quot;&gt;index, G index, I &lt;/span&gt;&lt;span style=&quot;left:257.33px;top:491.285px;18.4px;sans-serif;transform:scaleX(0.973045);&quot;&gt;index, lotka’s law), which are most &lt;/span&gt;&lt;span style=&quot;left:531.368px;top:491.285px;18.4px;sans-serif;transform:scaleX(0.888163);&quot;&gt;related &lt;/span&gt;&lt;span style=&quot;left:587.758px;top:491.285px;18.4px;sans-serif;transform:scaleX(0.928504);&quot;&gt;to references and citations of &lt;/span&gt;&lt;span style=&quot;left:813.63px;top:491.285px;18.4px;sans-serif;transform:scaleX(0.938461);&quot;&gt;the articles. &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:512.374px;18.4px;sans-serif;transform:scaleX(0.917989);&quot;&gt;We find that &lt;/span&gt;&lt;span style=&quot;left:217.352px;top:512.374px;18.4px;sans-serif;transform:scaleX(0.968216);&quot;&gt;KM and &lt;/span&gt;&lt;span style=&quot;left:283.35px;top:512.376px;18.4px;sans-serif;transform:scaleX(0.931022);&quot;&gt;IC fields are heterogeneous in cases &lt;/span&gt;&lt;span style=&quot;left:559.6px;top:512.376px;18.4px;sans-serif;transform:scaleX(0.897043);&quot;&gt;and &lt;/span&gt;&lt;span style=&quot;left:591.868px;top:512.376px;18.4px;sans-serif;transform:scaleX(0.915522);&quot;&gt;homogeneous in other cases vis à vis the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:533.464px;18.4px;sans-serif;transform:scaleX(0.902313);&quot;&gt;applied indexes. &lt;/span&gt;&lt;span style=&quot;left:249.627px;top:533.464px;18.4px;sans-serif;transform:scaleX(0.877041);&quot;&gt; This analysis is usefull to researchers in the two areas to find the pionners &lt;/span&gt;&lt;span style=&quot;left:843.815px;top:533.464px;18.4px;sans-serif;transform:scaleX(0.897043);&quot;&gt;and &lt;/span&gt;&lt;span style=&quot;left:877.693px;top:533.464px;18.4px;sans-serif;transform:scaleX(0.865329);&quot;&gt;the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.888047);&quot;&gt;most productive authors to potentially collaborate with them &lt;/span&gt;&lt;span style=&quot;left:582.395px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.908064);&quot;&gt;and, &lt;/span&gt;&lt;span style=&quot;left:619.618px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.860716);&quot;&gt; the most &lt;/span&gt;&lt;span style=&quot;left:695.9px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.881852);&quot;&gt;read &lt;/span&gt;&lt;span style=&quot;left:733.397px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.933536);&quot;&gt;articles &lt;/span&gt;&lt;span style=&quot;left:792.412px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.860327);&quot;&gt;to &lt;/span&gt;&lt;span style=&quot;left:812.742px;top:554.552px;18.4px;sans-serif;transform:scaleX(0.876928);&quot;&gt;use them in &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.927288);&quot;&gt;literature review. In databases of &lt;/span&gt;&lt;span style=&quot;left:368.867px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.908224);&quot;&gt;researches, &lt;/span&gt;&lt;span style=&quot;left:455.49px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.939002);&quot;&gt;only H index is offered but &lt;/span&gt;&lt;span style=&quot;left:662.665px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.852844);&quot;&gt;to &lt;/span&gt;&lt;span style=&quot;left:682.392px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.942801);&quot;&gt;all articles of area &lt;/span&gt;&lt;span style=&quot;left:821.185px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.898622);&quot;&gt;defined &lt;/span&gt;&lt;span style=&quot;left:881.772px;top:575.641px;18.4px;sans-serif;transform:scaleX(0.929293);&quot;&gt;by &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:596.729px;18.4px;sans-serif;transform:scaleX(0.913434);&quot;&gt;the database and not for a set of requested articles. This paper is filling this gap, &lt;/span&gt;&lt;span style=&quot;left:754.033px;top:596.729px;18.4px;sans-serif;transform:scaleX(0.921568);&quot;&gt; as the first study &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:617.817px;18.4px;sans-serif;transform:scaleX(1.00642);&quot;&gt;of KM &lt;/span&gt;&lt;span style=&quot;left:184.077px;top:617.817px;18.4px;sans-serif;transform:scaleX(0.934756);&quot;&gt;and IC using relative bibliometric indexes.&lt;/span&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supervision of an Industrial Process of Milk Production using Fuzzy Logic</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ieomsociety.org/paris2018/papers/321.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:120.04px;top:59.8645px;16.8px;sans-serif;transform:scaleX(0.912679);&quot;&gt;Proceedings of the International Conference on Industrial Engineering and Operations Management &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:79.0645px;16.8px;sans-serif;transform:scaleX(1.032);&quot;&gt;Paris&lt;/span&gt;&lt;span style=&quot;left:156.08px;top:79.0645px;16.8px;sans-serif;transform:scaleX(0.957955);&quot;&gt;, France, July 26-27, 2018 &lt;/span&gt;&lt;span style=&quot;left:152.08px;top:121.303px;30px;sans-serif;transform:scaleX(0.992022);&quot;&gt;Supervision of an Industrial Process of Milk Production &lt;/span&gt;&lt;span style=&quot;left:394.167px;top:155.703px;30px;sans-serif;transform:scaleX(0.99632);&quot;&gt;using Fuzzy Logic &lt;/span&gt;&lt;span style=&quot;left:232.483px;top:229.463px;20px;sans-serif;transform:scaleX(1.01931);&quot;&gt;Hanane Zermane, Samira Brahmi, Naima Zerari, Rachad Kasmi &lt;/span&gt;&lt;span style=&quot;left:323.317px;top:255.463px;20px;sans-serif;transform:scaleX(0.918361);&quot;&gt;Laboratory of Automation and Manufacturing, &lt;/span&gt;&lt;span style=&quot;left:370.567px;top:278.663px;20px;sans-serif;transform:scaleX(0.917488);&quot;&gt;Industrial Engineering Department &lt;/span&gt;&lt;span style=&quot;left:371.367px;top:301.463px;20px;sans-serif;transform:scaleX(0.956852);&quot;&gt;University Batna 2, Batna, Algeria &lt;/span&gt;&lt;span style=&quot;left:210.083px;top:324.697px;20px;sans-serif;transform:scaleX(0.904898);&quot;&gt;hananezermane@yahoo.fr&lt;/span&gt;&lt;span style=&quot;left:420.167px;top:324.697px;20px;sans-serif;transform:scaleX(0.933857);&quot;&gt;, brahmi.samira@gmail.com&lt;/span&gt;&lt;span style=&quot;left:648.283px;top:324.697px;20px;sans-serif;transform:scaleX(0.945132);&quot;&gt;, n.zerari@yahoo.fr&lt;/span&gt;&lt;span style=&quot;left:804.717px;top:324.697px;20px;sans-serif;transform:scaleX(1.05942);&quot;&gt;, &lt;/span&gt;&lt;span style=&quot;left:394.967px;top:347.497px;20px;sans-serif;transform:scaleX(0.930354);&quot;&gt;kasmiradwan08@gmail.com&lt;/span&gt;&lt;span style=&quot;left:473px;top:413.097px;20px;sans-serif;transform:scaleX(1.01125);&quot;&gt;Abstract &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:454.972px;18.4px;sans-serif;transform:scaleX(0.918221);&quot;&gt;Because we usually deal with real - world systems with real - world constraints (cost, computer resources, &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:475.772px;18.4px;sans-serif;transform:scaleX(0.912603);&quot;&gt;size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:496.972px;18.4px;sans-serif;transform:scaleX(0.85495);&quot;&gt;is the one that should be used. Experts usually rely on common sense when they solve problems. They &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:518.172px;18.4px;sans-serif;transform:scaleX(0.925427);&quot;&gt;also use vague and ambiguous terms. Other experts have no difficulties with understanding and &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:538.972px;18.4px;sans-serif;transform:scaleX(0.872119);&quot;&gt;interpreting this statement because they have the background to hearing problems described like this. &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:560.172px;18.4px;sans-serif;transform:scaleX(0.886221);&quot;&gt;However, a knowledge engineer would have difficulties providing a computer with the same level of &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:581.372px;18.4px;sans-serif;transform:scaleX(0.910475);&quot;&gt;understanding. In a complex industrial process, how can we represent expert knowledge that uses vague &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:602.606px;18.4px;sans-serif;transform:scaleX(0.868693);&quot;&gt;and fuzzy terms in a computer to control it? In this work, the application is developed to control the &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:623.406px;18.4px;sans-serif;transform:scaleX(0.918028);&quot;&gt;pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control &lt;/span&gt;&lt;span style=&quot;left:120.04px;top:644.606px;18.4px;sans-serif;transform:scaleX(0.902513);&quot;&gt;approach based on expert knowledge and fuzzy logic&lt;/span&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hanane Zermane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge, ISSN / ISBN 2308-4375 /  978-1-61208-620-0</style></title><secondary-title><style face="normal" font="default" size="100%"> eKNOW 2018  International Conference on Information, Process, and Knowledge Management,Rome, Italie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ns2.thinkmind.org/index.php?view=article&amp;articleid=eknow_2018_3_30_6800</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">44-49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The automation of production systems has been an&lt;br&gt;answer to the changing and competitive industrial context and&lt;br&gt;works by extracting data and experiences of experts. This&lt;br&gt;automation is a double-edged sword; on one hand, it increases&lt;br&gt;the productivity of the technical system (cost reduction,&lt;br&gt;reliability, availability, quality), but, on the other hand, it&lt;br&gt;increases the complexity of the system. This has led to the need&lt;br&gt;of efficient technologies, such as Supervisory Control and Data&lt;br&gt;Acquisition (SCADA) systems and techniques that could&lt;br&gt;absorb this complexity such as artificial intelligence and fuzzy&lt;br&gt;logic. In this context, we develop an application that controls&lt;br&gt;the pretreatment and pasteurization station of milk localized in&lt;br&gt;Batna (Algeria) by adopting a control approach based on&lt;br&gt;expert knowledge and fuzzy logic.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy control of an industrial process system using internet and web services, ISSN / e-ISSN &amp;lrm;1748-5037 / 1748-5045</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Industrial and Systems Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.inderscience.com/info/inarticle.php?artid=93054</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 29 </style></volume><pages><style face="normal" font="default" size="100%">pp. 389-404</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Haboussi  Amar</style></author><author><style face="normal" font="default" size="100%">Chouhal Ouahiba</style></author><author><style face="normal" font="default" size="100%">Haouassi Hichem</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Temporal Neuro-Fuzzy System for Estimating Remaining Usefull Life in Preheater Cement Cyclones,  ISSN / e-ISSN 0218-5393 / 1793-6446</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Reliability Quality and Safety Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1142/S0218539319500128</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">26</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Fault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire system, the components’ degradation, and the RUL estimation. The benefit of introducing time in the structure of fuzzy rules is that a local memory of the TNFS is created to capture the dynamics of the prognostic task. More precisely, the paper emphasizes improving the performance of TNFSs for prediction. The RUL estimation process is broken down into four generic processes: building a predictive model, selecting the most critical parameters, training the TNFS, and predicting RUL through the generated temporal fuzzy rules. Finally, the performance of the proposed TNFS is evaluated using a real preheater cement cyclone dataset. The results show that our TNFS produces better results than classical neuro-fuzzy systems and neural networks.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record></records></xml>