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Ben Slimene, M., & Ouali, M.-S. (juin 2022). Anomaly Detection Method of Aircraft System using Multivariate Time Series Clustering and Classification Techniques [Résumé]. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, FRANCE. Publié dans IFAC PapersOnLine, 55(10). 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). Fault classification in the process industry using polygon generation and deep learning. Journal of Intelligent Manufacturing, 33(5), 1531-1544. 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
Nadim, K., Ragab, A., & Ouali, M.-S. (2022). Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining. Journal of Intelligent Manufacturing, 34(1), 57-83. 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
Waghen, K., & Ouali, M.-S. (2022). A data-driven fault tree for a time causality analysis in an aging system. Algorithms, 15(6), 19 pages. Lien externe
