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J. D. Bustos-Vanegas, Corrêa, P. C., Martins, M. A., Baptestini, F. M., Campos, R. C., de Oliveira, G. H. H., et Nunes, E. H. M., « Developing predictive models for determining physical properties of coffee beans during the roasting process », Industrial Crops and Products, vol. 112, p. 839-845, 2018.
B. Btissam et Driss, B., « Partially Connected Neural Networks for an Efficient Classification of Traffic Signs », in Conference of Open Innovation Association, FRUCT, 2021, vol. 2021-October, p. 16-23.
A. Brisman, South, N., et Walters, R., Climate apartheid and environmental refugees. 2018, p. 301-321.
Na Brinis, Koulali, M. - Ab, Saidane, L. Aa, Minet, Pc, et Kobbane, Ad, « Strategic data gathering in wireless sensor networks », in 2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016, 2016, p. 547-552.
N. Brinis, Koulali, M. - A., Saidane, L. Azouz, Minet, P., et Kobbane, A., « Strategic Data Gathering in Wireless Sensor Networks », in 2016 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2016, p. 547-552.
S. Brihi, Walid, A., Ben-Othman, J., et M. Koutbi, E., « A New Profile-QoS Aware User Association Scheme for 5G Ultra-Dense W HetNets », in 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, 2019.
S. Brihi, Ghamizi, A., et Chakri, K., « UAV for IoT Communications: Beam Selection Using Matching Game and Network Slicing », in Proceedings - 2020 International Conference on Wireless Networks and Mobile Communications, WINCOM 2020, 2020.
P. K. Bretting, « 2017 frank meyer medal for plant genetic resources lecture: Stewards of our agricultural future », Crop Science, vol. 58, p. 2233-2240, 2018.
H. Bouzkraoui, Azouaoui, A., Hadi, Y., et Niharmine, L., « Soft decision decoding of linear block codes using memetic algorithms », Journal of Theoretical and Applied Information Technology, vol. 96, p. 3994-4003, 2018.
D. Bouzidi, Ajhoun, R., et Benkiran, A., « The use of the annotations in a collaborative activity of reading an online hypermedia course document », in 2006 7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING, VOLS 1 AND 2, 2006, p. 797-802.
E. A. Bouziady, R. Thami, O. Haj, Ghogho, M., Bourja, O., et S. Fkihi, E., « Vehicle speed estimation using extracted SURF features from stereo images », in 2018 International Conference on Intelligent Systems and Computer Vision, ISCV 2018, 2018, vol. 2018-May, p. 1-6.
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., « 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, 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 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.
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, 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.
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., « 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.
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.
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: Long short-term memory for demand forecasting », Lecture Notes in Networks and Systems, vol. 49, p. 301-317, 2019.

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