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S. Bouzbita, Afia, A. E., et Faizi, R., « A New Hidden Markov Model Approach for Pheromone Level Exponent Adaptation in Ant Colony System », Studies in Computational Intelligence, vol. 906, p. 253-267, 2021.
S. Bouzbita, A. Afia, E., et Faizi, R., « Hidden Markov Model classifier for the adaptive ACS-TSP pheromone parameters », Studies in Computational Intelligence, vol. 774, p. 153-169, 2019.
S. Bouzbita, A. Afia, E., et Faizi, R., « A novel based Hidden Markov Model approach for controlling the ACS-TSP evaporation parameter », in International Conference on Multimedia Computing and Systems -Proceedings, 2017, p. 633-638.
S. Bouzbita, A. Afia, E., Faizi, R., et Zbakh, M., « Dynamic adaptation of the ACS-TSP local pheromone decay parameter based on the Hidden Markov Model », in Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016, 2017, p. 344-349.
S. Bouzbita, A. Afia, E., et Faizi, R., « The behaviour of ACS-TSP algorithm when adapting both pheromone parameters using fuzzy logic controller », International Journal of Electrical and Computer Engineering, vol. 10, p. 5436-5444, 2020.
S. Bouzbita, A. Afia, E., et Faizi, R., « Parameter adaptation for ant colony system algorithm using hidden markov model for tsp problems », in ACM International Conference Proceeding Series, 2018.
S. Bouzbita et Afia, A. E., « A Fuzzy Meta Model for Adjusting Ant Colony System Parameters », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 48-58, 2022.
E. K. Bouyahyiouy et Bellabdaoui, A., « A new crossover to solve the full truckload vehicle routing problem using genetic algorithm », in Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016, 2016.
K. El Bouyahyiouy et Bellabdaoui, A., « A new crossover to solve the full truckload vehicle routing problem using genetic algorithm », in PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL'16), 2016.
E. K. Bouyahyiouy et Bellabdaoui, A., « A mixed-integer linear programming model for the selective full-truckload multi-depot vehicle routing problem with time windows », Decision Science Letters, vol. 10, p. 471-486, 2021.
E. K. Bouyahyiouy et Bellabdaoui, A., « An ant colony optimization algorithm for solving the full truckload vehicle routing problem with profit », in 2017 International Colloquium on Logistics and Supply Chain Management: Competitiveness and Innovation in Automobile and Aeronautics Industries, LOGISTIQUA 2017, 2017, p. 142-147.
H. Boutaina, Rachid, O. H. T., et Mohammed, E. H. T., « Tracking multiple people in real time based on their trajectory », in 2013 8th International Conference on Intelligent Systems: Theories and Applications, SITA 2013, 2013.
H. Boutaina, Raj, O., Rachid, T., et Mohammed, E. Raj Tirari, « Tracking multiple people in real time based on their trajectory », in 2013 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA), 2013.
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.
H. Bousqaoui, Slimani, I., et Achchab, S., « Information sharing as a coordination tool in supply chain using multi-agent system and neural networks », Advances in Intelligent Systems and Computing, vol. 745, p. 626-632, 2018.
B. Bousarhane et Bouzidi, D., « Convolutional Neural Networks for Traffic Signs Recognition », Communications in Computer and Information Science, vol. 1264, p. 73-91, 2020.
B. Bousarhane et Bouzidi, D., « New Deep Learning Architecture for Improving the Accuracy and the Inference Time of Traffic Signs Classification in Intelligent Vehicles », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 16-31, 2022.
B. Bousarhane, Bensiali, S., et Bouzidi, D., « Road signs recognition: State-of-the-art and perspectives », International Journal of Data Analysis Techniques and Strategies, vol. 13, p. 128-150, 2021.
J. E. L. Bouroumi, Guermah, H., Nassar, M., et Kriouile, A., « CBPM: An Approach for Contextual Business Process Modeling », in 4th International Conference on Intelligent Computing in Data Sciences, ICDS 2020, 2020.
O. Bourja, Maach, A., Zannouti, Z., Derrouz, H., Mekhzoum, H., Abdelali, H. A., Thami, R. O. H., et Bourzeix, F., « End-to-End Car Make and Model Classification using Compound Scaling and Transfer Learning », International Journal of Advanced Computer Science and Applications, vol. 13, p. 994-1001, 2022.
O. Bourja, Kabbaj, K., Derrouz, H., A. Bouziady, E., Thami, R. O. H., Zennayi, Y., et Bourzeix, F., « MoVITS: Moroccan Video Intelligent Transport System », in Colloquium in Information Science and Technology, CIST, 2018, vol. 2018-October, p. 502-507.
O. Bourja, Derrouz, H., Abdelali, H. A., Maach, A., Thami, R. O. H., et Bourzeix, F., « Real Time Vehicle Detection, Tracking, and Inter-vehicle Distance Estimation based on Stereovision and Deep Learning using Yolov3 », International Journal of Advanced Computer Science and Applications, vol. 12, p. 915-923, 2021.
S. Bourhim, Benhiba, L., et Idrissi, M. A. Janati, « Towards a Novel Graph-based collaborative filtering approach for recommendation systems », in ACM International Conference Proceeding Series, 2018.
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.

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