Items where Research Center is "LID - Laboratoire en intelligence des données"

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Adam, L. F. F., Pellerin, R., & Agard, B. (2025, February). Analysis of Rule-Based Models for Predicting Energy Consumption in Electric Bus Fleets: A Case Study with Telemetry Data [Paper]. 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI 2025), Granada, Spain. External link

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. Available

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Belmouadden, M., Dadouchi, C., & Pellerin, R. (2025). Artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation. Procedia Computer Science, 256, 47-54. External link

Belmouadden, M., Dadouchi, C., & Pellerin, R. (2025). Real-time decision support system for dynamic optimization in multi-product process manufacturing. IEEE Access, 13, 53895-53908. Available

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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). Available

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Parrenin, L., Dupuis, A., Danjou, C., & Agard, B. (2024, November). Machine Learning Tool for Yield Maximization in Cream Cheese Production [Paper]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Published in Communications in computer and information science. External link

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Rodrigues Delfiol, A., Dadouchi, C., Agard, B., & St-Aubin, P. (2024, November). An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach [Paper]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Published in Communications in computer and information science. External link

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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. External link