Documents publiés en "2025"

Département de génie chimique

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

Département de génie électrique

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

Département de mathématiques et de génie industriel

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