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Aa Mabrouk, Senhadji, Ma, Kobbane, Aa, Walid, Aa, Sabir, Eb, et Koutbi, MaEl, « A congestion game-based routing algorithm for communicating VANETs », in IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference, 2014, p. 672-677.
A. Mabrouk, Senhadji, M., Kobbane, A., Walid, A., Sabir, E., et Koutbi, M. E. L., « A Congestion Game-based Routing Algorithm for Communicating VANETs », in 2014 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2014, p. 672-677.
E. O. Mouaatamid, Lahmer, M., et Belkasmi, M., « Construction and decoding of OSMLD codes derived from unital and oval designs », in Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018, 2018, p. 1-7.
F. Z. Lahlou, Benbrahimand, H., Mountassir, A., et Kassou, I., « Context extraction from reviews for Context Aware Recommendation using Text Classification techniques », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2013.
F. Zahra Lahlou, Benbrahimand, H., Mountassir, A., et Kassou, I., « Context Extraction from Reviews for Context Aware Recommendation Using Text Classification Techniques », in 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013.
F. Lachhab, Malek, Y. N., Bakhouya, M., Ouladsine, R., et Essaaidi, M., « A Context-Driven Approach using IoT and Big Data Technologies for Controlling HVAC Systems », in 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, 2018, p. 694-699.
J. Maqboul et Jaouad, B. B., « Contribution of Artificial Neural Network in Predicting Completeness Through the Impact and Complexity of its Improvement », in ACM International Conference Proceeding Series, 2020.
A. Mabrouk, Naja, A., Oualhaj, O. A., Kobbane, A., et Boulmalf, M., « A cooperative game based mechanism for autonomous organization and ubiquitous connectivity in VANETs », Simulation Modelling Practice and Theory, vol. 107, 2021.
H. G. Merabet, Essaaidi, M., Haddou, M. B., Qolomany, B., Qadir, J., Anan, M., Al-Fuqaha, A., Abid, M. R., et Benhaddou, D., « Corrigendum to “Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques” (Renewable and Sustainable Energy Reviews (2021) 144, (11096), (S1364032121002616), (10 », Renewable and Sustainable Energy Reviews, vol. 145, 2021.
F. Chaker, Idrissi, M. A. Janati, et A. Manouar, E., « A critical evaluation of the sustainability balanced scorecard as a decision aid framework », International Journal of Applied Engineering Research, vol. 12, p. 4221-4237, 2017.
E. R. Mezouary, Loutfi, A., et M. Koutbi, E., « A cross-layer architecture for service differentiation in Wireless Sensor Networks with multiple sinks », in International Conference on Multimedia Computing and Systems -Proceedings, 2014, p. 843-848.
R. El Mezouary, Loutfi, A., et koutbi, M. El, « A Cross-layer Architecture for Service Differentiation in Wireless Sensor Networks With Multiple Sinks », in 2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2014, p. 843-848.
A. Mountassir, Benbrahim, H., et Berrada, I., « A cross-study of sentiment classification on arabic corpora », in Res. and Dev. in Intelligent Syst. XXIX: Incorporating Applications and Innovations in Intel. Sys. XX - AI 2012, 32nd SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel., 2012, p. 259-272.
Z. Labbi, Maarof, A., Senhadji, M., et Belkasmi, M., « Cryptographic algorithm approach for low cost RFID systems », Lecture Notes in Electrical Engineering, vol. 380, p. 45-54, 2016.
Z. Labbi, Maarof, A., Senhadji, M., et Belkasmi, M., « Cryptographic Algorithm Approach for Low Cost RFID Systems », in PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015, VOL 1, 2016, vol. 380, p. 45-54.
Fa Chaker, Manouar, AaEl, Aaminou, M. Wb, et Aboulaich, Rb, « CSR dynamics under peer pressure and green confusion: A multi-agent simulation approach », in 2015 10th International Conference on Intelligent Systems: Theories and Applications, SITA 2015, 2015.
F. Chaker, Manouar, A. El, Aaminou, M. Wail, et Aboulaich, R., « CSR Dynamics under Peer Pressure and Green Confusion: a Multi-Agent Simulation Approach », in 2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA), 2015.
E. Mohammed et Zellou, A., « Current Research Trends in Fake News Areas: A Systematic Mapping Study », in 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022, 2022.
I. Elaalyani, Erradi, M., Mühling, M., et Freisleben, B., « Current trends in text-spotting », in Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017, 2017.
D
Aa Walid, Kamili, MbEl, Kobbane, Aa, Mabrouk, Aa, Sabir, Ec, et Koutbi, MaEl, « A decentralized network selection algorithm for group vertical handover in heterogeneous networks », in IEEE Wireless Communications and Networking Conference, WCNC, 2014, p. 2817-2821.
D. E. Majdoubi, Bakkali, H. E., Bensaih, M., et Sadki, S., « A Decentralized Trust Establishment Protocol for Smart IoT Systems », Internet of Things (Netherlands), vol. 20, 2022.
S. Lhazmir, Oualhaj, O. Ait, Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, p. 102102, 2020.
S. Lhazmir, Oualhaj, O. A., Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, 2020.
A. Abouaomar, Mlika, Z., Filali, A., Cherkaoui, S., et Kobbane, A., « A deep reinforcement learning approach for service migration in MEC-enabled vehicular networks », in Proceedings - Conference on Local Computer Networks, LCN, 2021, vol. 2021-October, p. 273-280.
Z. Lakhili, A. Alami, E., Mesbah, A., Berrahou, A., et Qjidaa, H., « Deformable 3D Shape Classification Using 3D Racah Moments and Deep Neural Networks », in Procedia Computer Science, 2019, vol. 148, p. 12-20.

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