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Ibrahim, E., Ragab, A., Benali, M., Ajao, O., Boffito, D. C., & Dagdougui, H. (2026). Accelerated green material and solvent discovery with chemistry- and physics-guided generative AI. Artificial Intelligence Chemistry, 4(1), 100106 (13 pages). Lien externe
Nadim, K., Ragab, A., & Ghezzaz, H. (2026). Multi agent deep reinforcement learning for supervising local controllers in energy-intensive industrial processes. Control Engineering Practice, 170, 106794 (17 pages). Lien externe
Nadim, K., Ragab, A., Ghezzaz, H., & Ouali, M.-S. (2026). Reliable Dynamic Causality Analysis for Efficient Prescriptive Maintenance of Degraded Industrial Equipment. Journal of Loss Prevention in the Process Industries, 105922. Lien externe
Seely, H., Coops, N. C., White, J. M., Montwé, D., & Ragab, A. (2026). Addressing the small data problem in forestry: self-supervised learning for aboveground biomass estimation. Forestry An International Journal of Forest Research, 99(2), 19 pages. Lien externe
Seely, H., Murray, B., Cao, Y., & Ragab, A. (2026). Deep learning with airborne laser scanning data for forest inventories [Ensemble de données]. Lien externe
