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Mouloud Amazouz
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2020 – today
- 2024
- [i1]Zhipeng Ma, Bo Nørregaard Jørgensen, Michelle Levesque, Mouloud Amazouz, Zheng Grace Ma:
Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies. CoRR abs/2402.01718 (2024) - 2023
- [c2]Zhipeng Ma, Bo Nørregaard Jørgensen, Michelle Levesque, Mouloud Amazouz, Zheng Ma:
Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies. EI.A 2023: 253-270 - 2022
- [j5]Ahmed Ragab
, Hakim Ghezzaz, Mouloud Amazouz:
Decision fusion for reliable fault classification in energy-intensive process industries. Comput. Ind. 138: 103640 (2022) - 2021
- [j4]Mohamed El-Koujok
Energy inefficiency diagnosis in industrial process through one-class machine learning techniques. J. Intell. Manuf. 32(7): 2043-2060 (2021) - [j3]Mohamed El-Koujok
A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes. IEEE Trans. Ind. Informatics 17(5): 3358-3366 (2021)
2010 – 2019
- 2019
- [j2]Ahmed Ragab
Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. Expert Syst. Appl. 122: 388-405 (2019) - 2018
- [j1]Ahmed Ragab
Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data. Expert Syst. Appl. 95: 368-383 (2018)
2000 – 2009
- 2006
- [c1]Mouloud Amazouz, Radu Pantea:
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection. DMIN 2006: 329-332
Coauthor Index
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