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Publications

2020
BENCHERIF H, Dehimi L, Pezzimenti F, Yousfi A, Abdi MA, Saidi L, Della Corte FG. Improved InxGa1_xP/GaAs/Ge tandem solar cell using light trapping engineering and multi-objective optimization approach. Optik. 2020;223 :165346.
Yakhelef M, Saidi L. A LINEAR HYBRID MULTI-USER DETECTOR BASED ON SUCCESSIVE INTERFERENCE CANCELLATION AND DECORRELATOR DETECTOR FOR DS/CDMA SYSTEM. Telecommunications and Radio Engineering [Internet]. 2020;79 (1). Publisher's VersionAbstract

A linear hybrid multi-user detector in synchronous direct sequence code division multiple access systems (DS/CDMA) is performed by using linear successive interference cancellation detector (SIC) and linear decorrelator detector in order to exploit the advantages offered by the two detectors. Its main objectives are to reduce the long detection delay times and to improve the performance compared to that of the conventional SIC. Finally, theoretical and simulation results are in perfect agreement demonstrating the effectiveness of the elaborated scheme.

Yakhelef M, Saidi L. Low-complexity iterative detection based on parametric aor for uplink massive mimo systems. Telecommunications and Radio Engineering. 2020;79 (18).
Menacer F, Kadr A, Dibi Z. Modeling of a smart nano force sensor using finite elements and neural networks. International Journal of Automation and Computing. 2020;17 (2) :279-291.
Khezzar ZA, Benzid R, Saidi L. New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers. Traitement du Signal. 2020;37 (2).
Bounouara N, GHANAI M, MEDJGHOU A, CHAFAA K. Stable and robust control strategy using interval-valued fuzzy systems. International Journal of Applied. 2020;9 (3) :205-217.
Ouali MA, GHANAI M, CHAFAA K. TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising. Traitement du Signal. 2020;37 (4).
Ouali MA, GHANAI M, CHAFAA K. TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising. [Internet]. 2020. Publisher's VersionAbstract

A novel type2-fuzzy adaptive filter is presented, which uses the concepts of type2-fuzzy logic, for electrocardiogram signals denoising. Type2-fuzzy adaptive filter is an information processor where both numerical and linguistic information are used as input-output pairs and fuzzy if-then rules, respectively. The proposed approach is based on an iterative procedure to achieve acceptable information extraction in the case where the statistical characteristics of the input-output signals are unknown. The proposed filter is presented as a dual-layered feedback system. Each layer has different function, the first layer being the type2-fuzzy autoregressive filter model. The second layer being responsible for training the membership function parameters. The second layer adjusts the type2-fuzzy adaptive filter parameters by using a teaching learning-based optimization algorithm (TLBO), which will allow the reaching of the required signal reconstruction by decreasing the criterion function. The proposed filter is validated and evaluated through some experimentations using the MIT-BIH ECGs databases where various artifacts were added to the ECGs signals; these included real and artificial noise. For comparison purposes, both model and non-modelbased methods recently published are used. Furthermore, the effect of the proposed filter on the malformation of diagnostic features of the ECG was studied and compared with several benchmark schemes. The results show that the proposed method performs better denoising for all noise power levels and for a different criteria viewpoint.

2019
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Characterization of Melanoma Using Convolutional Neural Networks and Dermoscopic Images. International Conference on Electrical Engineering and Control Applications. 2019 :1147-1155.
Soudani MS, Aouiche A, CHAFAA K, Aouiche E, Taleb M, Fares Z. Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Khelalef A, Ababsa F, Benoudjit N. An efficient human activity recognition technique based on deep learning. Pattern Recognition and Image Analysis. 2019;29 (4) :702-715.
BENCHERIF H, Dehimi L, Pezzimenti F, Della Corte FG. Improving the efficiency of a-Si: H/c-Si thin heterojunction solar cells by using both antireflection coating engineering and diffraction grating. Optik. 2019;182 :682-693.
Salim A, Mounir A. Position Control of an Induction Machine Using the Fuzzy Passivity Mode. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-5.
2018
Tafsast A, Ferroudji K, Hadjili ML, Bouakaz A, Benoudjit N. Automatic microemboli characterization using convolutional neural networks and radio frequency signals. 2018 International Conference on Communications and Electrical Engineering (ICCEE). 2018 :1-4.
MEDJGHOU A, GHANAI M, CHAFAA K. BBO optimization of an EKF for interval type-2 fuzzy sliding mode control. International Journal of Computational Intelligence Systems. 2018;11 (1) :770.
Bahaz M, Benzid R. Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australasian physical & engineering sciences in medicine. 2018;41 (1) :143-160.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information Technology. 2018.
GHANAI M, MEDJGHOU A, CHAFAA K. Extended Kalman filter based states estimation of unmanned quadrotors for altitude-attitude tracking control. Advances in Electrical and Electronic Engineering. 2018;16 (4) :446-458.
MEDJGHOU A, SLIMANE N, CHAFAA K. Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors. Advances in Electrical and Electronic Engineering. 2018;16 (2) :135-146.
MEDJGHOU A, GHANAI M, CHAFAA K. Improved feedback linearization control based on PSO optimization of an extended Kalman filter. Optimal Control Applications and Methods. 2018;39 (6) :1871-1886.

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