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Abdeldayem, O. M., Dabbish, A. M., Habashy, M. M., Mostafa, M. K., Elhefnawy, M., Amin, L., Al-Sakkari, E. G., Ragab, A., & Rene, E. R. (2022). Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook. Science of The Total Environment, 803, 24 pages. Lien externe
Elhefnawy, M., Ouali, M.-S., Ragab, A., & Amazouz, M. (2023). Fusion of heterogeneous industrial data using polygon generation & deep learning. Results in Engineering, 19, 11 pages. Disponible
Elhefnawy, M., Ragab, A., & Ouali, M.-S. (2022). Fault classification in the process industry using polygon generation and deep learning. Journal of Intelligent Manufacturing, 33(5), 1531-1544. Lien externe
Elhefnawy, M., Ouali, M.-S., & Ragab, A. (2022). Multi-output regression using polygon generation and conditional generative adversarial networks. Expert Systems With Applications, 203, 14 pages. Lien externe
Elhefnawy, M., Ragab, A., & Ouali, M.-S. (2022). Polygon generation and video-to-video translation for time-series prediction. Journal of Intelligent Manufacturing, 34(1), 261-279. Lien externe
Ragab, A., Elhefnawy, M., & Ouali, M.-S. (janvier 2022). Artificial Intelligence-Based Survival Analysis For Industrial Equipment Performance Management [Communication écrite]. 68th Annual Reliability and Maintainability Symposium (RAMS 2022), Tucson, AZ, USA (7 pages). Lien externe
