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M. Benaida, Abnane, I., Idri, A., et T. Idrissi, E., « Machine and Deep Learning Predictive Techniques for Blood Glucose Level », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 476-485, 2022.
H. Bouijij et Berqia, A., « Machine Learning Algorithms Evaluation for Phishing URLs Classification », in 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021, 2021.
H. Zerouaoui, Idri, A., et K. Asnaoui, E., « Machine Learning and Image Processing for Breast Cancer: A Systematic Map », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 44-53, 2020.
H. Bousqaoui, Achchab, S., et Tikito, K., « Machine learning applications in supply chains: An emphasis on neural network applications », in Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017, 2018, vol. 2018-January, p. 1-7.
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.
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.
Z. Jeddi, Gryech, I., Ghogho, M., Hammoumi, M. E. L., et Mahraoui, C., « Machine learning for predicting the risk for childhood asthma using prenatal, perinatal, postnatal and environmental factors », Healthcare (Switzerland), vol. 9, 2021.
I. Tougui, Jilbab, A., et J. Mhamdi, E., « Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker », Healthcare Informatics Research, vol. 28, p. 210-221, 2022.
D. Najima et Rachida, A., « MADAR learning: An interoperable environment for E&M learning », in 2010 IEEE Education Engineering Conference, EDUCON 2010, 2010, p. 1691-1696.
E. M. Mejjatti, Habbani, A., et F. Bouanani, E., « A Magnetic Coupling-Based Technique for Buried Antenna's Frequency Adjustment in Wet Soil », in Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, 2021.
C. Miloudi, Cheikhi, L., Abran, A., et Idri, A., « Maintenance Effort Estimation for Open Source Software: Current trends », in CEUR Workshop Proceedings, 2022, vol. 3272.
S. Labghough, Ayoub, F., et Belkasmi, M., « Majority logic coding schemes performance over FSO channels », in 2016 International Conference on Advanced Communication Systems and Information Security, ACOSIS 2016 - Proceedings, 2017.
M. Boukadidi, « Make or buy decision making for telcos towards an Intelligent Transaction Cost Economics (TCE) Support System », in International Conference on Intelligent Systems Design and Applications, ISDA, 2016, vol. 2016-June, p. 7-13.
K. Mrhar, Zary, N., et Abik, M., « Making MOOCs matter in formal education through a federating environment », in Proceedings of the European Conference on e-Learning, ECEL, 2017, vol. 2010-October, p. 557-565.
O. Benallou, Aboulaich, R., et Nadem, Y., « Making the case for defined benefit pension plans self-adjusting steering schemes », International Journal of Applied Business and Economic Research, vol. 15, p. 525-550, 2017.
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.
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.
H. Sbaï, Fredj, M., Chakir, B., et Kjiri, L., « On managing evolution of configurable services based on configurable processes », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 616-621.
H. Sbai, Fredj, M., Chakir, B., et Kjiri, L., « On managing evolution of configurable services based on configurable processes », in 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, p. 616-621.
M. Amine, Walid, A., Kobbane, A., et Cherkaoui, S., « A many-to-many matching game in ultra-dense LTE HetNets », in 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017, 2017, p. 1245-1250.
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.
A. Azougaghe, Oualhaj, O. A., Hedabou, M., Belkasmi, M., et Kobbane, A., « Many-to-one matching game towards secure virtual machines migration in cloud computing », in 2016 International Conference on Advanced Communication Systems and Information Security, ACOSIS 2016 - Proceedings, 2017.

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Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

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