Documents publiés en "2023"

Département de génie électrique

Amer, M., Abuelnasr, A., Hassan, A., Ragab, A., Sawan, M., & Savaria, Y. (2023). A Half-bridge Gate Driver with Self-adjusting and Tunable Dead-time Modes for Efficient Switched-mode Power Systems. IEEE Transactions on Power Electronics, 15 pages. Lien externe

Département de mathématiques et de génie industriel

Ibrahim, E., Ragab, A., So, T. M. Y., Shokrollahi, M., Dagdougui, H., Navarri, P., Elkamel, A., & Amazouz, M. (2023). Machine learning-assisted selection of adsorption-based carbon dioxide capture materials. Journal of Environmental Chemical Engineering, 11(5), 110732 (25 pages). Lien externe

Nadim, K., Ouali, M.-S., Ghezzaz, H., & Ragab, A. (2023). Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes. Engineering Applications of Artificial Intelligence, 126, 106853 (29 pages). Lien externe

Seely, H., Coops, N. C., White, J. C., Montwé, D., Winiwarter, L., & Ragab, A. (2023). Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest. Science of Remote Sensing, 8, 100110 (17 pages). Disponible