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H. Guermah, Guermah, B., Fissaa, T., Hafiddi, H., et Nassar, M., « Dealing with context awareness for service-oriented systems: An ontology-based approach », International Journal of Service Science, Management, Engineering, and Technology, vol. 12, p. 110-131, 2021.
Aa Idri, Abnane, Ia, et Abran, Ab, « Dealing with missing values in software project datasets: A systematic mapping study », Studies in Computational Intelligence, vol. 653, p. 1-16, 2016.
A. Idri, Abnane, I., et Abran, A., « Dealing with Missing Values in Software Project Datasets: A Systematic Mapping Study », in SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2016, vol. 653, p. 1-16.
O. A. Oualahj, Kobbane, A., et Ben-Othman, J., « A Decentralized Control of Autonomous Delay Tolerant Networks: Multi Agents Markov Decision Processes Framework », in IEEE International Conference on Communications, 2018, vol. 2018-May.
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.
M. Tamir, Chiheb, R., et Ouzayd, F., « A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis », International Journal of Advanced Computer Science and Applications, vol. 9, p. 475-484, 2018.
M. Belhiah, Benqatla, M. S., et Bounabat, B., « Decision support system for implementing data quality projects », Communications in Computer and Information Science, vol. 584, p. 1-16, 2016.
E. Y. Ghayam et Erradi, M., « Decision tree based context management in a collaborative environment1 », in NOTERE'10 - 10th Annual International Conference on New Technologies of Distributed Systems, 2010, p. 151-156.
I. Kadi et Idri, A., « A decision tree-based approach for cardiovascular dysautonomias diagnosis », in 2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, p. 816-823.
I. Kadi et Idri, A., « A decision tree-based approach for cardiovascular dysautonomias diagnosis: A case study », in Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 2015, p. 816-823.
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.
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.
E. M. Haloui et Kriouile, A., « A decision-support model enabling a proactive vision of Cloud Computing adoption », in Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016, 2017, p. 192-198.
S. Nouh, Chana, I., et Belkasmi, M., « Decoding of block codes by using genetic algorithms and permutations set », International Journal of Communication Networks and Information Security, vol. 5, p. 201-209, 2013.
H. Berbia, Belkasmi, M., Elbouanani, F., et Ayoub, F., « On the decoding of convolutional codes using genetic algorithms », in Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development, 2008, p. 667-671.
Y. Laghouaouta, Anwar, A., Nassar, M., et Coulette, B., « A dedicated approach for model composition traceability », Information and Software Technology, vol. 91, p. 142-159, 2017.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
A. Oussidi et Elhassouny, A., « Deep generative models: Survey », in 2018 International Conference on Intelligent Systems and Computer Vision, ISCV 2018, 2018, vol. 2018-May, p. 1-8.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 446-455, 2022.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
K. A. Al Afandy, Omara, H., Lazaar, M., et M. Achhab, A., Deep learning. 2022, p. 127-166.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
I. Elaalyani et Erradi, M., « Deep Neural Networks for Medical Images », in Networked Systems, NETYS 2016, 2016, vol. 9944, p. 382.

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