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Adam, L. F. F., Pellerin, R., & Agard, B. (février 2025). Analysis of Rule-Based Models for Predicting Energy Consumption in Electric Bus Fleets: A Case Study with Telemetry Data [Communication écrite]. 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI 2025), Granada, Spain. Lien externe
Adam, L. F. F., Pellerin, R., & Agard, B. (2025). A Hybrid Machine Learning and Physics-based Approach for Accurate Energy Consumption Modeling of Electric Buses in Public Transport. Sensors & Transducers, 268(1), 45-58. Disponible
Maftah, M., Gamache, M., Agard, B., & Gendreau, M. (2025). Coordination of electrical drilling machines in open-pit mines: a constraint programming approach. International Journal of Mining Reclamation and Environment, 28 pages. Lien externe
Maftah, M., Gendreau, M., Agard, B., & Gamache, M. (2025). Scheduling of Drilling Machines in Open-Pit Mines: Stochastic and Non-Probabilistic CP Approaches. Optimization and Engineering. Lien externe
Moreno Haro, L. M., Oliveira-Filho, A., Agard, B., & Tahan, A. (2025). Failure detection in sensors via variational autoencoders and image-based feature representation. Sensors, 25(7), 2175 (20 pages). Disponible
Parrenin, L., Dupuis, A., Danjou, C., & Agard, B. (novembre 2024). Machine Learning Tool for Yield Maximization in Cream Cheese Production [Communication écrite]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Publié dans Communications in computer and information science. Lien externe
Rodrigues Delfiol, A., Dadouchi, C., Agard, B., & St-Aubin, P. (novembre 2024). An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach [Communication écrite]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Publié dans Communications in computer and information science. Lien externe
Tran, L. V. N. T., Sylla, A., & Agard, B. (2025). Hybrid Machine Learning Chain for Manufacturing Time Estimation Across Multiple Product Families. IFAC-PapersOnLine, 59(10), 2814-2819. Lien externe
