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Al-Sakkari, E. G., 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
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
Elhefnawy, M., Ouali, M.-S., Ragab, A., & Amazouz, M. (2023). Fusion of heterogeneous industrial data using polygon generation & deep learning. Results in Engineering, 19, 11 pages. Disponible
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
