| Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects T Berghout, M Benbouzid, SM Muyeen International Journal of Critical Infrastructure Protection 38, 100547, 2022 | 90 | 2022 |
| Aircraft engines remaining useful life prediction with an adaptive denoising online sequential extreme learning machine T Berghout, LH Mouss, O Kadri, L Saïdi, M Benbouzid Engineering Applications of Artificial Intelligence 96, 103936, 2020 | 83 | 2020 |
| 2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT O Friha, MA Ferrag, M Benbouzid, T Berghout, B Kantarci, KKR Choo Computers & Security 127, 103097, 2023 | 57 | 2023 |
| A systematic guide for predicting remaining useful life with machine learning T Berghout, M Benbouzid Electronics 11 (7), 1125, 2022 | 56 | 2022 |
| Intelligent condition monitoring of wind power systems: State of the art review M Benbouzid, T Berghout, N Sarma, S Djurović, Y Wu, X Ma Energies 14 (18), 5967, 2021 | 44* | 2021 |
| Machine learning-based condition monitoring for PV systems: State of the art and future prospects T Berghout, M Benbouzid, T Bentrcia, X Ma, S Djurović, LH Mouss Energies 14 (19), 6316, 2021 | 41 | 2021 |
| Aircraft engines remaining useful life prediction with an improved online sequential extreme learning machine T Berghout, LH Mouss, O Kadri, L Saïdi, M Benbouzid Applied Sciences 10 (3), 1062, 2020 | 40 | 2020 |
| A semi-supervised deep transfer learning approach for rolling-element bearing remaining useful life prediction T Berghout, LH Mouss, T Bentrcia, M Benbouzid IEEE Transactions on Energy Conversion 37 (2), 1200-1210, 2021 | 34 | 2021 |
| Cybersecurity enhancement of smart grid: Attacks, methods, and prospects U Inayat, MF Zia, S Mahmood, T Berghout, M Benbouzid Electronics 11 (23), 3854, 2022 | 27 | 2022 |
| A deep supervised learning approach for condition-based maintenance of naval propulsion systems T Berghout, LH Mouss, T Bentrcia, E Elbouchikhi, M Benbouzid Ocean Engineering 221, 108525, 2021 | 26 | 2021 |
| Leveraging label information in a knowledge-driven approach for rolling-element bearings remaining useful life prediction T Berghout, M Benbouzid, LH Mouss Energies 14 (8), 2163, 2021 | 23 | 2021 |
| ProgNet: a transferable deep network for aircraft engine damage propagation prognosis under real flight conditions T Berghout, MD Mouss, LH Mouss, M Benbouzid Aerospace 10 (1), 10, 2022 | 16 | 2022 |
| EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids T Berghout, M Benbouzid Reliability Engineering & System Safety 226, 108680, 2022 | 16 | 2022 |
| Auto-NAHL: A neural network approach for condition-based maintenance of complex industrial systems T Berghout, M Benbouzid, SM Muyeen, T Bentrcia, LH Mouss Ieee Access 9, 152829-152840, 2021 | 16 | 2021 |
| Federated learning for condition monitoring of industrial processes: a review on fault diagnosis methods, challenges, and prospects T Berghout, M Benbouzid, T Bentrcia, WH Lim, Y Amirat Electronics 12 (1), 158, 2022 | 13 | 2022 |
| Machine learning for photovoltaic systems condition monitoring: A review T Berghout, M Benbouzid, X Ma, S Djurović, LH Mouss IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021 | 13 | 2021 |
| Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering Approach T Berghout, M Benbouzid, Y Amirat Electronics 12 (12), 2554, 2023 | 10 | 2023 |
| Lithium-ion battery state of health prediction with a robust collaborative augmented hidden layer feedforward neural network approach T Berghout, M Benbouzid, Y Amirat, G Yao IEEE Transactions on Transportation Electrification 9 (3), 4492-4502, 2023 | 10 | 2023 |
| Multiverse recurrent expansion with multiple repeats: A representation learning algorithm for electricity theft detection in smart grids T Berghout, M Benbouzid, MA Ferrag IEEE Transactions on Smart Grid 14 (6), 4693-4703, 2023 | 9 | 2023 |
| A heterogeneous federated transfer learning approach with extreme aggregation and speed T Berghout, T Bentrcia, MA Ferrag, M Benbouzid Mathematics 10 (19), 3528, 2022 | 7 | 2022 |
Mohamed BenbouzidProfessor of Electrical Engineering, IEEE Fellow, IET Fellow, University of BrestAdresse e-mail validée de univ-brest.fr
