Documents publiés en "2026"

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Elhefnawy, M., Ragab, A., Pelletier, N., Lussier, J.-M., & Amazouz, M. (2026). A stratified approach for heterogeneous data fusion using polygon generation, deep learning and ensemble modeling. Ecological Informatics, 96, 103824. Lien externe

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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

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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

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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