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Al-Sakkari, E. G., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Braide, D., Ibrahim, E., Panaritis, C., Li, L. Z., Ntumba Kabongo, E., Lavigne, L., Abanobi, E. A., Ragab, A., Patience, G. S., & Boffito, D. C. (2025). Ultrasound accelerates zeolite synthesis: Predictive modelling via machine learning. Journal of environmental chemical engineering, 13(6), 120180 (16 pages). Lien externe
Ibrahim, E., Ragab, A., Ali, M., Dagdougui, H., & Boffito, D. C. (2025). Simulate intelligently: Causal incremental reinforcement learning for streamlined industrial chemical process design optimization. Journal of environmental chemical engineering, 13(6), 120167 (22 pages). Lien externe
Al-Sakkari, E. G., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Seely, H., Coops, N. C., White, J. C., Montwé, D., & Ragab, A. (2025). Forest aboveground biomass estimation using deep learning data fusion of ALS, multispectral, and topographic data. International Journal of Remote Sensing, 1-39. Lien externe
Abdeldayem, O. M. H. M., Al-Sakkari, E. G., Gonzalez Ortiz, D., Dupont, C., Ferràs, D., Ouali, M.-S., Ragab, A., & Kennedy, M. D. (2025). Human-centric ensemble AI for hydrothermal carbonization modeling and hydrochar properties prediction. Journal of environmental chemical engineering, 13(5), 117826 (15 pages). Lien externe
Al-Sakkari, E. G., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Ibrahim, E., Ragab, A., Ali, M., Dagdougui, H., & Boffito, D. C. (2025). Simulate intelligently: Causal incremental reinforcement learning for streamlined industrial chemical process design optimization. Journal of environmental chemical engineering, 13(6), 120167 (22 pages). Lien externe
Murray, B. A., Coops, N. C., White, J. C., Dick, A., Barbeito, I., & Ragab, A. (2025). Individual tree species prediction using airborne laser scanning data and derived point-cloud metrics within a dual-stream deep learning approach. International Journal of Applied Earth Observation and Geoinformation, 144, 104877 (14 pages). Lien externe
Murray, B., Coops, N. C., White, J. C., Dick, A., & Ragab, A. (2025). Tree species proportion prediction using airborne laser scanning and Sentinel-2 data within a deep learning based dual-stream data fusion approach. International Journal of Remote Sensing, 1-29. Lien externe
