Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. - Ahmed Ragab; Mohamed El-Koujok; Hakim Ghezzaz; Mouloud Amazouz; Mohamed-Salah Ouali; Soumaya Yacout (Expert Syst. Appl., 2019)

Energy inefficiency diagnosis in industrial process through one-class machine learning techniques. - Mohamed El-Koujok; Hakim Ghezzaz; Mouloud Amazouz (J. Intell. Manuf., 2021)

A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes. - Mohamed El-Koujok; Ahmed Ragab; Hakim Ghezzaz; Mouloud Amazouz (IEEE Trans. Ind. Informatics, 2021)

Decision fusion for reliable fault classification in energy-intensive process industries. - Ahmed Ragab; Hakim Ghezzaz; Mouloud Amazouz (Comput. Ind., 2022)

Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes. - Karim Nadim; Mohamed-Salah Ouali; Hakim Ghezzaz; Ahmed Ragab (Eng. Appl. Artif. Intell., 2023)