Publications

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2020
W. F. Fihri, Ghazi, H. E., Majd, B. A. E., et Bouanani, F. E., « A Machine Learning Approach for Backoff Manipulation Attack Detection in Cognitive Radio », IEEE Access, vol. 8, p. 227349-227359, 2020.
H. Kamri et Bounabat, B., « Machine Learning Approach for Smart Self-diagnosing Autonomic Computing Systems », Advances in Intelligent Systems and Computing, vol. 1105 AISC, p. 298-307, 2020.
I. Gryech, Ghogho, M., Elhammouti, H., Sbihi, N., et Kobbane, A., « Machine learning for air quality prediction using meteorological and traffic related features », Journal of Ambient Intelligence and Smart Environments, vol. 12, p. 379-391, 2020.
M. Hosni, García-Mateos, G., Carrillo-De-Gea, J. M., Idri, A., et Fernandez-Aleman, J. L., « A mapping study of ensemble classification methods in lung cancer decision support systems », Medical and Biological Engineering and Computing, vol. 58, p. 2177-2193, 2020.
K. Sanak, Azzouzi, M., Abik, M., et Radouani, F., « MARCO Gene Variations and Their Association with Cardiovascular Diseases Development: An In-Silico Analysis », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12108 LNBI, p. 203-212, 2020.
S. Lhazmir, Oualhaj, O. A., Kobbane, A., et Ben-Othman, J., « Matching Game with No-Regret Learning for IoT Energy-Efficient Associations with UAV », IEEE Transactions on Green Communications and Networking, vol. 4, p. 973-981, 2020.
K. Ouaddi, Mhada, F. - Z., et Benadada, Y., « Memetic algorithm for multi-tours dynamic vehicle routing problem with overtime (Mdvrpot) », International Journal of Industrial Engineering Computations, vol. 11, p. 643-662, 2020.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « Mining Learners’ Behaviors: An Approach Based on Educational Data Mining Techniques », Advances in Intelligent Systems and Computing, vol. 1076, p. 655-670, 2020.
A. Sebbar, Zkik, K., Baddi, Y., Boulmalf, M., et Kettani, M. D. E. - C. E., « MitM detection and defense mechanism CBNA-RF based on machine learning for large-scale SDN context », Journal of Ambient Intelligence and Humanized Computing, vol. 11, p. 5875-5894, 2020.
L. Sardi, Idri, A., Readman, L. M., Alami, H., Bezad, R., et Fernandez-Aleman, J. L., « Mobile health applications for postnatal care: Review and analysis of functionalities and technical features », Computer Methods and Programs in Biomedicine, vol. 184, 2020.
L. Sardi, Idri, A., Redman, L. M., Alami, H., Bezad, R., et Fernández-Alemán, J. Luis, « Mobile health applications for postnatal care: Review and analysis of functionalities and technical features », Computer Methods and Programs in Biomedicine, vol. 184, p. 105114, 2020.
E. M. Akrouchi, Benbrahim, H., et Kassou, I., « Monitoring Early Warning Signs Evolution through Time », in ACM International Conference Proceeding Series, 2020.
I. Gryech, Ben-Aboud, Y., Guermah, B., Sbihi, N., Ghogho, M., et Kobbane, A., « Moreair: A low-cost urban air pollution monitoring system », Sensors (Switzerland), vol. 20, 2020.
M. A. Ahajjam, Licea, D. B., Essayeh, C., Ghogho, M., et Kobbane, A., « Mored: A moroccan buildings’ electricity consumption dataset », Energies, vol. 13, 2020.
Y. Baddi, Sebbar, A., Zkik, K., Boulmalf, M., et Kettani, M. D. E. - C. El, « Msnd: Multicast software defined network based solution to multicast tree construction », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12293, p. 245-256, 2020.
A. Filali, Abouaomar, A., Cherkaoui, S., Kobbane, A., et Guizani, M., « Multi-access edge computing: A survey », IEEE Access, vol. 8, p. 197017-197046, 2020.
S. Bourekkache, Kazar, O., et Abik, M., « Multi-agent approach for collaborative authoring and indexing of pedagogical materials », International Journal of Continuing Engineering Education and Life-Long Learning, vol. 30, p. 255-275, 2020.
F. Fellir, A. Attar, E., Nafil, K., et Chung, L., « A multi-Agent based model for task scheduling in cloud-fog computing platform », in 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020, 2020, p. 377-382.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « A Multiple Linear Regression-Based Approach to Predict Student Performance », Advances in Intelligent Systems and Computing, vol. 1102 AISC, p. 9-23, 2020.
M. Kharbouch, Idri, A., Rachad, T., Alami, H., Redman, L., et Stelate, Y., « MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 86-94, 2020.
2019
H. Bousqaoui, Achchab, S., et Tikito, K., « Machine learning applications in supply chains: Long short-term memory for demand forecasting », Lecture Notes in Networks and Systems, vol. 49, p. 301-317, 2019.
A. Abouaomar, Kobbane, A., et Cherkaoui, S., « Matching-Game for User-Fog Assignment », in 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, 2019.
H. Rachih, Mhada, F. Z., et Chiheb, R., « Meta-heuristics for reverse logistics: A literature review and perspectives », Computers and Industrial Engineering, vol. 127, p. 45-62, 2019.
S. Yousfi, Rhanoui, M., et Chiadmi, D., « Mixed-Profiling Recommender Systems for Big Data Environment », Advances in Intelligent Systems and Computing, vol. 756, p. 79-89, 2019.
E. M. Amrani, Benadada, Y., et Gendron, B., « Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approaches Based on Set Partitioning », Studies in Computational Intelligence, vol. 774, p. 109-121, 2019.

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