@book {5719,
	title = {An approach Multi-Agent Systems and emergence for maintenance, ISBN-10 : 6133995718 / ISBN-13 : 978-6133995710},
	year = {2018},
	pages = {144 pages},
	publisher = { LAP LAMBERT Academic Publishing},
	organization = { LAP LAMBERT Academic Publishing},
	abstract = {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.},
	url = {https://www.amazon.fr/Approach-Multi-Agent-Systems-Emergence-Maintenance/dp/6133995718},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@book {5718,
	title = {Relational database courses and exercises, ISBN-10 : 3668608482 / ISBN-13 : 978-3668608481},
	year = {2017},
	pages = {64 pages},
	publisher = { Grin Verlag },
	organization = { Grin Verlag },
	abstract = {This course is intended for computing sophomores and aims at presenting basic principles of relational DBMS and the practice of these fundamentals. The course content is mainly the following: Chapter 1: Introduction to databases Chapter 2: Relational Model Chapter 3: Relational Algebra Chapter 4: Standardization Chapter 5: SQL Language Chapter 6: Practical work A set of exercises are included at the end of the document. We added a tutorial section and directed to allow students to apply the concepts learned in the five chapters.},
	url = {https://www.amazon.fr/Relational-Database-Courses-Exercises-Ouahab/dp/3668608482},
	author = {Kadri Ouahab and Abdelhadi Adel}
}
@book {5716,
	title = {Ant Colony Algorithm in Fault Diagnosis, ISBN-13 : 978-3668350045 / ISBN-10 : 3668350043},
	year = {2017},
	pages = {140 pages},
	publisher = {Grin Verlag},
	organization = {Grin Verlag},
	abstract = {In this book, we propose several modules of diagnosis for complex and dynamic systems. These modules are based on the three algorithms colony of ants, which are AntTreeStoch, Lumer \&amp; Faieta and Binary ant colony. These algorithms have been chosen for their simplicity and their vast field of application. However, these algorithms cannot be used under their basal form for the development of diagnostic modules since they have several limitations. We have also proposed several adaptations in order that these algorithms can be used in diagnostic modules. We have proposed a parallel version of the algorithm AntTreeStoch based on a reactive multi-agents system. This version allows minimizing the influence of initial sort on the outcome of classification. We have also introduced a new parameter called Sid, which allows several ants to connect to the same position, and we have modified the movements of ants by promoting the path of the ant the most similar. For the algorithm Lumer \&amp; Faieta, we have accelerated the speed of construction of classes by adding a speed setting different for each Ant. To reduce the number of movements, we have proposed a new variable that allows saving the identifiers of objects displaced by the same Ant. To improve the quality of classification, we have also added to the algorithm of the indices to report the classes trunks constructed. For the algorithm Binary ant colony, we have proposed a variant called "Hybrid wrapper/filter-based ACO-SVM". This algorithm allows the selection of parameters. It combines the techniques of filters and enveloping methods in taking advantage of the rapidity of the Fisher report and the adaptation of selected settings to the classifier SVM. It improves the quality of classification according to the data nature in the database for learning and the type of the kernel function used. It also allows adjusting the hyper-parameters of the kernel function. We tested these algorithms based on data from two industrial systems, which are the sintering system and the pasteurization system, as well on a few databases of UCI (University of California, Irvine).},
	url = {https://www.grin.com/document/344694},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {5055,
	title = {An Efficient Hybrid Approach Based on Multi-Agent System and Emergence Method for the Integration of Systematic Preventive Maintenance Policies},
	journal = {IJIME International Journal of Industrial and Manufacturing Engineering },
	volume = {Vol 4},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling},
	url = {https://www.researchgate.net/publication/303858216_An_Efficient_Hybrid_Approach_Based_on_Multi-Agent_System_and_Emergence_Method_for_the_Integration_of_Systematic_Preventive_Maintenance_Policies},
	author = {Kadri Ouahab and Abdelhadi Adel}
}
@article {5054,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance},
	journal = {International Journal of Industrial and Manufacturing Engineering},
	volume = { Vol 11},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://publications.waset.org/abstracts/69375/pdf},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@conference {4938,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance, ISBN: 978-1-5090-6774-9},
	booktitle = {ICIEA 2017. 19th International Conference on Industrial Engineering and Automation, Paris, France 18-19- May },
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://www.researchgate.net/publication/316980675_An_Improved_Approach_Based_on_MAS_Architecture_and_Heuristic_Algorithm_for_Systematic_Maintenance},
	author = {Abdelhadi Adel}
}
@article {4924,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance,},
	journal = {International Journal of Industrial and Manufacturing Engineering},
	volume = {Vol 11},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://publications.waset.org/abstracts/69375/an-improved-approach-based-on-mas-architecture-and-heuristic-algorithm-for-systematic-maintenance},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {4912,
	title = {Fault diagnosis for a milk pasteurisation plant with missing data, ISSN / e-ISSN 1757-2185 / 1757-2177},
	journal = {International Journal of Quality Engineering and Technology},
	volume = {Vol 6},
	number = {3},
	year = {2017},
	pages = {pp. 123{\textendash}136},
	abstract = {This paper addresses the problem of fault diagnosis from observed data containing missing values amongst the inputs. In order to provide good classification accuracy for the decision function, a novel approach based on support vector machine and extreme learning machine is developed. SVM mixture model is used to model the data distribution, which is adapted to handle missing values, while extreme learning machine enables to devise a multiple imputation strategy for final estimation. In order to prove the efficiency of our proposed method, we have developed the classifier using the condition monitoring observations from milk pasteurisation data. The experiments show that the proposed algorithm gives improved results compared to recent methods, essentially if the number of missing data is significant. The results show that our approach can perfectly detect dysfunction, identify the fault, and is strong in unsupervised process monitoring.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=88858},
	author = {Kadri Ouahab and Mouss Leila Hayet and Abdelhadi Adel}
}
@article {4923,
	title = { An Efficient Hybrid Approach Based on Multi-Agent System and Emergence Method for the Integration of Systematic Preventive Maintenance Policies, ISSN 2279-0764},
	journal = {IJCIE International Journal of Computer and Information Engineering},
	volume = { Vol 3},
	number = {N{\textdegree}4},
	year = {2016},
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://www.researchgate.net/publication/303858216_An_Efficient_Hybrid_Approach_Based_on_Multi-Agent_System_and_Emergence_Method_for_the_Integration_of_Systematic_Preventive_Maintenance_Policies},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {4922,
	title = {Toolbox Supports Group Awareness In Groupware, ISSN 1583-7165},
	journal = { Annals. Computer Science Series.},
	year = {2016},
	pages = {pp. 117-122},
	abstract = {Group awareness tools are developed to minimize the time of cooperative application realization and spare designers a lot of effort devoted to integrating the group awareness aspect into groupware. But these tools have several disadvantages, such as dependence on a single type of application or overloading the minds of users with unnecessary information. From here comes the need to develop a tool that allows to offer information of group awareness configurable and to be both generic and easy to use. Our article presents some tools that have inspired several ideas. It proposes a design of a new toolbox that allows a better interpretation of group awareness information. Finally, it presents a variant of the client/server architecture based on work area.},
	url = {https://anale-informatica.tibiscus.ro/download/lucrari/14-2-16-Kadri.pdf},
	author = {Kadri Ouahab and Abdelhadi Adel and Mouss Leila Hayet}
}
@mastersthesis {5832,
	title = {Vers une approche des syst{\`e}mes multi agents et m{\'e}thodes d\&rsquo;{\'e}mergence pour la maintenance syst{\'e}matique },
	year = {2015},
	author = {Abdelhadi Adel}
}
@book {5715,
	title = {Application of Neural Network for Pattren Recognition of Plants Leaves, ISBN-10 : 3659815772 / ISBN-13 : 978-3659815775},
	year = {2015},
	pages = {88 pages},
	publisher = {Lambert Academic Publishing},
	organization = {Lambert Academic Publishing},
	abstract = {This work appears in pattern recognition in the agronomic domain, especially for the identification of the leaves of plants, while using the adaptive technique of neuronal networks. In this article, we will expose our tool; which is intended for two categories of specialists, the first consisting of researchers in the field of botany, as the second, so all scientists, who may use this work in their own applications. We will expose also, the capacities of generalization of the neuronal networks and their implementation to our problem.},
	url = {https://www.amazon.fr/Application-Neural-Network-Pattren-Recognition/dp/3659815772},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@proceedings {3474,
	title = {Une nouvelle m{\'e}thode bas{\'e}e sur le syst{\`e}me multi-agents et le syst{\`e}me immunitaire artificielpour la maintenance syst{\'e}matique},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Abdelhadi Adel}
}
@article {3000,
	title = {A New Method Based on Multi Agent System and Artificial Immune System for Systematic Maintenance, ISSN/ISBN 2040-7459 /2040-7467 \&copy; Maxwell Scientific Organization, 2014},
	journal = {RJASET Research Journal of Applied Sciences, Engineering and Technology},
	volume = {7},
	number = {19},
	year = {2014},
	pages = {4008-4017},
	abstract = {This study propose a novel method for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling. The proposed approach is inspired by the behavior of the human body. We have implemented a problem-solving approach for optimizing the processing time, methods based on M{\'e}taheuristiques. This hybridization is between a Multi agent system and inspirations of the human body, especially artificial immune system. The effectiveness of our approach has been demonstrated repeatedly in this study. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://pdfs.semanticscholar.org/452d/4b6197de0ff91f28e20c4558cfd750365772.pdf},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@book {3394,
	title = {Algorithms for the integration of Arabic Language in Mobile Phones, ISBN-13: 978-3-659-38488-2 / ISBN-10: 3659384887},
	year = {2013},
	publisher = {Book, LAP Lambert Academic Publishing},
	organization = {Book, LAP Lambert Academic Publishing},
	abstract = {This work presents a subject which deals with man machine interfaces. Its objective is to study the data-processing impact of the integration of the Arabic language in mobile phones, in order to make an Arabic man machine interface. The correct display of Arabic characters is essential in a graphic interface, and because Arabic characters change their forms according to the position occupied in a word, it is necessary to make a contextual analysis on each word, to find the correct form of each character. The transformation of two or several characters in only one form, also requires making a particular treatment, as in case of the Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing compared to other languages embedded in mobile phones, which requires finding a bi-directional algorithm that ensures a correct display of SMS messages. These messages can contain characters of different direction, right-to-left, left-to-right or characters without direction. It allows making comprehensible the display of messages.},
	url = {https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-659-38488-2/algorithms-for-the-integration-of-arabic-language-in-mobile-phones},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@article {1732,
	title = {An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan, September 2013, ISSN/ISBN: 2141-2383.},
	journal = {Journal of Mechanical Engineering Research},
	volume = {05},
	number = {06},
	year = {2013},
	pages = {112-122 },
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time and methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://doi.org/10.5897/JMER2013.0275},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@conference {4594,
	title = {The Use of Artificial Immune System Algorithms in Monitoring Industrial, in Proceedings of IEEE Sciences of Electronics, print ISBN:978-1-4673-1657-6},
	booktitle = {Technologies of Information and Telecommunications (SETIT 2012), Sousse, Tunisia},
	year = {2012},
	pages = {pp. 50-55},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Kadri Ouahab}
}
@proceedings {3420,
	title = {The use of artificial immune system algorithms in monitoring industrial,},
	journal = {(SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications},
	year = {2012},
	url = {http://www.setit.rnu.tn/},
	author = {Abdelhadi Adel}
}
@article {3016,
	title = {Efficient Tool for the Recognition of the Leaves of Plants, ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	year = {2012},
	abstract = {This work appears in pattern recognition in the agronomic domain, especially for the identification of the leaves of plants, while using the adaptive technique of neuronal networks. In this article, we will expose our tool; which is intended for two categories of specialists, the first consisting of researchers in the field of botany, as the second, so all scientists, who may use this work in their own applications. We will expose also, the capacities of generalization of the neuronal networks and their implementation to our problem},
	url = {https://www.researchgate.net/publication/266278880_Efficient_Tool_for_the_Recognition_of_the_Leaves_of_Plants},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Mahdaoui Rafik}
}
@conference {4596,
	title = {An efficient hybrid approach based on SVM and Binary ACO for featureSelection},
	booktitle = {ICMAS{\textquoteright}11 International Conference on Modeling and Applied.Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz, Rome, Italy},
	year = {2011},
	pages = {pp 08-15},
	url = {http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf},
	author = {Mouss Leila Hayet and Kadri Ouahab and Merah Fouad and Abdelhadi Adel and Mouss Med Djamel}
}
@article {3370,
	title = {Efficient Tool for the Recognition of the Leaves of Plants ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol. 8},
	number = {Issue 2},
	year = {2011},
	pages = {pp 309-314},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.9531\&rep=rep1\&type=pdf$\#$page=331},
	author = {Abdelhadi Adel and Mouss Leila-Hayet}
}
@article {3014,
	title = {An Overview of Artificial Immune System Algorithms for Industrial Monitoring, March, ISSN/ISBN 1828-6003/1828-6011},
	journal = {IRECOS International Review on Computers and Software},
	volume = {Volume 6 },
	number = {N{\textdegree} 2 },
	year = {2011},
	pages = {pp: 268-273},
	abstract = {We describe in this paper an overview of artificial immune system algorithms to solve the classification problem in industrial monitoring. We present artificial immune system algorithms, starting with the negative selection that happens to be a rich source of inspiration. We also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, we detail other algorithms based of agent including the immune system and dendritic cell algorithm. In the end, we summarize the differences and similarities of the works discussed and we conclude on the prospects related to the approach of the algorithms of artificial immune systems for industrial monitoring to solve the classification problem},
	url = {https://ieeexplore.ieee.org/document/6481888},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@article {3005,
	title = {Efficient Algorithms for the integration of Arabic Language in Mobile Phone, ISSN 1793-8163},
	journal = {IJCEE International Journal of Computer and Electrical Engineering},
	volume = {3},
	number = {3},
	year = {2011},
	pages = {pp 379-383},
	abstract = {This work appears in man-machine interface. Our goal is to study the integration of Arabic language in Mobile Phone, in order to achieve a man-machine interface Arabic. The correct display of Arabic character is essential in a MMI. Since Arabic characters change their forms according to their position in a word, then it is necessary to make a contextual analysis on every word, to find the correct form of each character. The transformation of two or more characters in one form, demand special treatment, as in the case of Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing in relation to other languages embedded in mobile phone, which requires finding an algorithm that provides a bidirectional display of SMS messages. These messages may contain characters from different direction, from right to left, left to right or characters that have no direction. It allows you to make the message understandable.},
	url = {http://www.ijcee.org/papers/345-E934.pdf},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Mahdaoui Rafik}
}
