Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection. - Mouloud Amazouz; Radu Pantea (DMIN, 2006)

Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data. - Ahmed Ragab; Mohamed El-Koujok; Bruno Poulin; Mouloud Amazouz; Soumaya Yacout (Expert Syst. Appl., 2018)

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)

Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies. - Zhipeng Ma; Bo Nørregaard Jørgensen; Michelle Levesque; Mouloud Amazouz; Zheng Ma 002 (EI.A, 2023)