| Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data A Ragab, M El-Koujok, B Poulin, M Amazouz, S Yacout Expert Systems with Applications 95, 368-383, 2018 | 77 | 2018 |
| Drying of vegetable starch solutions on inert particles: Quality and energy aspects M Benali, M Amazouz Journal of Food Engineering 74 (4), 484-489, 2006 | 54 | 2006 |
| Polymeric desiccant articles and process for their manufacture R Cote, S Hosette, M Amazouz US Patent 6,110,533, 2000 | 39 | 2000 |
| Measurement of the thermal diffusivity of anisotropic materials M Amazouz, C Moyne, A Degiovanni High Temperatures. High Pressures (Print) 19 (1), 37-41, 1987 | 32 | 1987 |
| Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning A Ragab, M El Koujok, H Ghezzaz, M Amazouz, MS Ouali, S Yacout Expert Systems with Applications 122, 388-405, 2019 | 31 | 2019 |
| A multiagent-based methodology for known and novel faults diagnosis in industrial processes M El Koujok, A Ragab, H Ghezzaz, M Amazouz IEEE Transactions on Industrial Informatics 17 (5), 3358-3366, 2020 | 29 | 2020 |
| Adaptive prognostics in a controlled energy conversion process based on long-and short-term predictors M Soualhi, M El Koujok, KTP Nguyen, K Medjaher, A Ragab, H Ghezzaz, ... Applied Energy 283, 116049, 2021 | 21 | 2021 |
| Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery A Ragab, M El-Koujok, M Amazouz, S Yacout 2017 annual reliability and maintainability symposium (RAMS), 1-7, 2017 | 19 | 2017 |
| Cellulose/polymer composite enthalpy exchanger and method for its manufacture S Hosatte, M Amazouz, R Cõté US Patent 6,228,506, 2001 | 19 | 2001 |
| Effect of Drying‐Aid Agents on Processing of Sticky Materials M Benali, M Amazouz Developments in Chemical Engineering and Mineral Processing 10 (3‐4), 401-414, 2002 | 17 | 2002 |
| Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection. M Amazouz, R Pantea DMIN, 329-332, 2006 | 10 | 2006 |
| A data-driven causality analysis tool for fault diagnosis in industrial processes E Alizadeh, M El Koujok, A Ragab, M Amazouz IFAC-PapersOnLine 51 (24), 147-152, 2018 | 9 | 2018 |
| Apparatus for producing powder from biomaterials M Benali, M Amazouz US Patent 6,993,856, 2006 | 9 | 2006 |
| Decision fusion for reliable fault classification in energy-intensive process industries A Ragab, H Ghezzaz, M Amazouz Computers in Industry 138, 103640, 2022 | 7 | 2022 |
| A multi-agent approach based on machine-learning for fault diagnosis M El Koujok, A Ragab, M Amazouz IFAC-PapersOnLine 52 (10), 103-108, 2019 | 7 | 2019 |
| Solving heat dissipation problems in unidirectional composite structure M Amazouz, R Gauvin Journal of reinforced plastics and composites 16 (8), 686-697, 1997 | 7 | 1997 |
| Drying of value-added liquid wastes M Benali, M Amazouz, T Kudra Proceedings of Symposium on Energy Engineering in the 21 st Century (SEE2000 …, 2000 | 5 | 2000 |
| Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods A Ragab, M El Koujok, H Ghezzaz, M Amazouz Applications of Artificial Intelligence in Process Systems Engineering, 207-254, 2021 | 4 | 2021 |
| Soft-sensors for real-time monitoring and control of a black liquor concentration process M Amazouz, R Platon Proceedings of the International Conference on Data Science (ICDATA), 1, 2011 | 4 | 2011 |
| An evaluation of wood kiln control practices F Léger, M Amazouz | 4 | 2003 |
