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Al-Sakkari, E. G., Ragab, A., Ali, M., Dagdougui, H., Boffito, D. C., & Amazouz, M. (juillet 2024). Learn-to-design : reinforcement learning-assisted chemical process optimization [Communication écrite]. 10th International Conference on Foundations of Computer Aid Process Design (FOCAPD 2024), Breckenridge, Colorado, USA. Disponible
Al-Sakkari, E. G., Ragab, A., Ali, M., Dagdougui, H., Boffito, D. C., & Amazouz, M. (juillet 2024). Learn-To-Design: Reinforcement Learning-Assisted Chemical Process Optimization [Communication écrite]. Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, Colorado, USA. Publié dans Systems and Control Transactions, 3. Disponible
Al-Sakkari, E. G., Ragab, A., Dagdougui, H., Boffito, D. C., & Amazouz, M. (2024). Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities. Science of the Total Environment, 917, 170085 (32 pages). Lien externe
Abuelnasr, A., Ragab, A., Amer, M., Gosselin, B., & Savaria, Y. (2024). Incremental reinforcement learning for multi-objective analog circuit design acceleration. Engineering Applications of Artificial Intelligence, 129, 107426 (18 pages). Lien externe
Amer, M., Abuelnasr, A., Ali, M., Hassan, A., Trigui, A., Ragab, A., Sawan, M., & Savaria, Y. (2024). Enhanced dynamic regulation in Buck Converters: integrating input-voltage feedforward with voltage-mode feedback. IEEE Access, 12, 7310-7328. Disponible
Al-Sakkari, E. G., Ragab, A., Ali, M., Dagdougui, H., Boffito, D. C., & Amazouz, M. (juillet 2024). Learn-to-design : reinforcement learning-assisted chemical process optimization [Communication écrite]. 10th International Conference on Foundations of Computer Aid Process Design (FOCAPD 2024), Breckenridge, Colorado, USA. Disponible
Al-Sakkari, E. G., Ragab, A., Ali, M., Dagdougui, H., Boffito, D. C., & Amazouz, M. (juillet 2024). Learn-To-Design: Reinforcement Learning-Assisted Chemical Process Optimization [Communication écrite]. Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, Colorado, USA. Publié dans Systems and Control Transactions, 3. Disponible
Al-Sakkari, E. G., Ragab, A., Dagdougui, H., Boffito, D. C., & Amazouz, M. (2024). Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities. Science of the Total Environment, 917, 170085 (32 pages). Lien externe
Amer, M., Abuelnasr, A., Ali, M., Hassan, A., Trigui, A., Ragab, A., Sawan, M., & Savaria, Y. (2024). Enhanced dynamic regulation in Buck Converters: integrating input-voltage feedforward with voltage-mode feedback. IEEE Access, 12, 7310-7328. Disponible
Hosseini Ardali, S. M., Ragab, A., Amazouz, M., & Yacout, S. (mai 2024). AI-Assisted Acceleration of Catalytic Materials Design/Discovery: Towards achieving net-zero emissions [Communication écrite]. 2024 IISE annual Conference & Expo, Montreal, Qc, Canada. Lien externe
Murray, B. A., Coops, N. C., Winiwarter, L., White, J. C., Dick, A., Barbeito, I., & Ragab, A. (2024). Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing, 207, 282-297. Lien externe
