<  Back to the Polytechnique Montréal portal

Items where Author is "Amazouz, Mouloud"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Jump to: A | E | R | S
Number of items: 10.


Al-Sakkari, E.R. A., Ragab, A., Dagdougui, H., Boffito, D. C., & Amazouz, M. (2024). Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities. Science of the Total Environment, 917, 170085 (32 pages). External link

Al-Sakkari, E. G., Ragab, A., So, T. M. Y., Shokrollahi, M., Dagdougui, H., Navarri, P., Elkamel, A., & Amazouz, M. (2023). Machine learning-assisted selection of adsorption-based carbon dioxide capture materials. Journal of Environmental Chemical Engineering, 11(5), 110732 (25 pages). External link

Alizadeh, E., Koujok, M. E., Ragab, A., & Amazouz, M. (2018, August). A Data-Driven Causality Analysis Tool for Fault Diagnosis in Industrial Processes [Paper]. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018), Warsaw, Poland. Published in IFAC-PapersOnLine, 51(24). External link

Amazouz, M. (1995). Analyse du transfert de chaleur et de la dissipation visqueuse dans un composite unidirectionnel [Ph.D. thesis, École Polytechnique de Montréal]. Unavailable


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. Available


Ragab, A., Ghezzaz, H., & Amazouz, M. (2022). Decision fusion for reliable fault classification in energy-intensive process industries. Computers in Industry, 138, 13 pages. External link

Ragab, A., El Koujok, M., Ghezzaz, H., Amazouz, M., Ouali, M.-S., & Yacout, S. (2019). Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. Expert Systems With Applications, 122, 388-405. External link

Ragab, A., El-Koujok, M., Poulin, B., Amazouz, M., & Yacout, S. (2018). Fault diagnosis in industrial chemical processes using interpretable patterns based on logical analysis of data. Expert Systems With Applications, 95, 368-383. External link

Ragab, A., El-Koujok, M., Amazouz, M., & Yacout, S. (2017, January). Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery [Paper]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL, United states. External link


Soualhi, M., El Koujok, M., Nguyen, K. T. P., Medjaher, K., Ragab, A., Ghezzaz, H., Amazouz, M., & Ouali, M.-S. (2021). Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors. Applied Energy, 283, 116049 (14 pages). External link

List generated on: Sun Mar 3 09:00:49 2024 EST