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E. B. Asri, Kenzi, A., Nassar, M., et Kriouile, A., « Vers une architecture MVSOA pour la mise en oeuvre des composants multivue », in CAL 2009 - 3rd Conference Francophone sur les Architectures Logicielles, 2009, p. 1-16.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « Efficient deployment quality analysis for intrusion detection in wireless sensor networks », WIRELESS NETWORKS, vol. 22, p. 991-1006, 2016.
N. Assad, Elbhiri, B., Faqihi, M., Ouadou, M., et Aboutajdine, D., « Efficient deployment quality analysis for intrusion detection in wireless sensor networks. », Wireless Networks (10220038), vol. 22, p. 991 - 1006, 2016.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « On the deployment quality for multi-intrusion detection in wireless sensor networks », Lecture Notes in Electrical Engineering, vol. 381, p. 469-478, 2016.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks », JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2015.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « On the Deployment Quality for Multi-intrusion Detection in Wireless Sensor Networks », in PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015 (MEDCT 2015), VOL 2, 2016, vol. 381, p. 469-478.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « Efficient deployment quality analysis for intrusion detection in wireless sensor networks », Wireless Networks, vol. 22, p. 991-1006, 2016.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « Analysis of the deployment quality for intrusion detection in wireless sensor networks », Journal of Computer Networks and Communications, vol. 2015, 2015.
Na Assad, Elbhiri, Bb, Fkihi, ScEl, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « Short: Intrusion detection quality analysis for homogeneous wireless sensor networks », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8593 LNCS, p. 324-329, 2014.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks. », Journal of Computer Networks & Communications, vol. 2015, p. 1 - 7, 2015.
S. Assami, Daoudi, N., et Ajhoun, R., « Ontology-based modeling for a personalized mooc recommender system », Smart Innovation, Systems and Technologies, vol. 111, p. 21-28, 2019.
S. Assami, Daoudi, N., et Ajhoun, R., « Personalization criteria for enhancing learner engagement in MOOC platforms », in IEEE Global Engineering Education Conference, EDUCON, 2018, vol. 2018-April, p. 1265-1272.
S. Assami, Daoudi, N., et Ajhoun, R., « Learning actor ontology for a personalised recommendation in massive open online courses », International Journal of Technology Enhanced Learning, vol. 12, p. 390-410, 2020.
B. Assila, Kobbane, A., et M. Koutbi, E., « A Many-To-One Matching Game Approach to Achieve Low-Latency Exploiting Fogs and Caching », in 2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings, 2018, vol. 2018-January, p. 1-2.
B. Assila, Kobbane, A., et Ben-Othman, J., « Improving caching resource management: A pricing economic approach using Cournot, Bertrand, and Stackelberg game models », International Journal of Communication Systems, 2020.
B. Assila, Kobbane, A., Ben-Othman, J., et Koutbi, M. E., « Caching as a Service for 5G Networks: A Matching Game Approach for CaaS Resource Allocation », in Proceedings - IEEE Symposium on Computers and Communications, 2018, vol. 2018-June, p. 1193-1198.
B. Assila, Kobbane, A., et M. Koutbi, E., « A Cournot Economic Pricing Model for Caching Resource Management in 5G Wireless Networks », in 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, 2018, p. 1345-1350.
B. Assila, Kobbaney, A., Elmachkourz, M., et M. Koutbi, E., « A dynamic Stackelberg-Cournot game for competitive content caching in 5G networks », in Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017, 2017.
B. Assila, Kobbane, A., M. Koutbi, E., Ben-Othman, J., et Mokdad, L., « Caching as a Service in 5G Networks: Intelligent Transport and Video on Demand Scenarios », in 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, 2019.
B. Assila, Kobbane, A., Walid, A., et M. Koutbi, E., « Achieving low-energy consumption in fog computing environment: A matching game approach », in 19th IEEE Mediterranean Eletrotechnical Conference, MELECON 2018 - Proceedings, 2018, p. 213-218.
N. Attaoui, Ganzha, M., Paprzycki, M., Wasielewska, K., et Essaaidi, M., « MULTIPLE EQUIVALENT SIMULTANEOUS OFFERS STRATEGY IN AN AGENT-BASED GRID RESOURCE BROKERING SYSTEM - INITIAL CONSIDERATIONS. », Scalable Computing: Practice & Experience, vol. 14, p. 83 - 94, 2013.
Na Attaoui, Ganzha, Mb, Paprzycki, Mb, Wasielewska, Kb, et Essaaidi, Mc, « Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system-initial considerations », Scalable Computing, vol. 14, p. 83-94, 2013.
N. Attaoui, Bendahmane, A., Essaaidi, M., Sanyal, S., Ganzha, M., Paprzycki, M., et Wasielewska, K., « MALICIOUS WORKERS TOLERANCE IN AN AGENT-BASED GRID RESOURCE BROKERING SYSTEM. », IADIS International Journal on Computer Science & Information Systems, vol. 9, p. 55 - 70, 2014.
N. Attaoui, Essaaidi, M., Ca), M. Paprzycki, et Ganzha, M., « Malicious Workers Tolerance in an Agent-Based Grid Resource Brokering System - Preliminary Considerations (Short Paper) », in 2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 2, 2014, p. 233-236.
Na Attaoui, Essaaidi, Mb, Paprzycki, Mc, et Ganzha, Mc, « Malicious workers tolerance in an agent-based grid resource brokering system - Preliminary considerations », in Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014, 2014, vol. 2, p. 233-236.

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