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Tarek Berghout
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2020 – today
- 2024
- [c9]Tarek Berghout, Yassine Amirat, Ahcène Bounceur, Mohamed Benbouzid:
AI-based Gas Turbine Multi-Component Health Prognosis via Recurrent Expansion of Gas Path Parameters. ICCAD 2024: 1-6 - [c8]Tarek Berghout, Mohamed Benbouzid:
Acoustic Emission-based Fault Diagnosis for Drones with Heterogeneous Multiverse Recurrent Expansion: Avoiding Representation Glitch. ICCAD 2024: 1-6 - 2023
- [j8]Othmane Friha
, Mohamed Amine Ferrag, Mohamed Benbouzid
, Tarek Berghout
, Burak Kantarci
, Kim-Kwang Raymond Choo
:
2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT. Comput. Secur. 127: 103097 (2023) - [j7]Tarek Berghout
, Mohamed Benbouzid
:
PrognosEase: A data generator for health deterioration prognosis. SoftwareX 23: 101461 (2023) - [j6]Tarek Berghout
, Mohamed Benbouzid
, Mohamed Amine Ferrag
:
Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids. IEEE Trans. Smart Grid 14(6): 4693-4703 (2023) - [c7]Harsh S. Dhiman, Dev Bhanushali, Chun-Lien Su, Tarek Berghout, Yassine Amirat, Mohamed Benbouzid:
Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks. IECON 2023: 1-6 - [c6]Haroon Rashid, Mohamed Benbouzid, Yassine Amirat, Tarek Berghout, Hosna Titah-Benbouzid, Abdeslam Mamoune:
Biofouling Detection and Extent Classification in Tidal Stream Turbines via a Soft Voting Ensemble Transfer Learning Approach. IECON 2023: 1-6 - [c5]Haroon Rashid, Mohamed Benbouzid, Hosna Titah-Benbouzid, Yassine Amirat, Tarek Berghout, Abdeslam Mamoune:
Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation. IECON 2023: 1-6 - 2022
- [j5]Tarek Berghout
, Mohamed Benbouzid
, Toufik Bentrcia, Yassine Amirat
, Leila Hayet Mouss:
Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis. Entropy 24(7): 1009 (2022) - [j4]Tarek Berghout
, Mohamed Benbouzid
, S. M. Muyeen:
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects. Int. J. Crit. Infrastructure Prot. 38: 100547 (2022) - [j3]Tarek Berghout
, Mohamed Benbouzid
:
EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids. Reliab. Eng. Syst. Saf. 226: 108680 (2022) - [c4]Tarek Berghout
, Mohamed Benbouzid, Yassine Amirat:
Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis. IECON 2022: 1-5 - [c3]Tarek Berghout
, Mohamed Benbouzid, Mohamed Amine Ferrag:
Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids. IECON 2022: 1-6 - 2021
- [j2]Tarek Berghout
, Mohamed Benbouzid
, S. M. Muyeen
, Toufik Bentrcia, Leila Hayet Mouss:
Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems. IEEE Access 9: 152829-152840 (2021) - [c2]Tarek Berghout
, Mohamed Benbouzid, Leila Hayet Mouss:
Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. IECON 2021: 1-5 - [c1]Tarek Berghout
, Mohamed Benbouzid, Xiandong Ma
, Sinisa Djurovic, Leila Hayet Mouss:
Machine Learning for Photovoltaic Systems Condition Monitoring: A Review. IECON 2021: 1-5 - 2020
- [j1]Tarek Berghout
, Leila Hayet Mouss, Ouahab Kadri
, Lotfi Saidi, Mohamed Benbouzid:
Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine. Eng. Appl. Artif. Intell. 96: 103936 (2020)
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last updated on 2024-06-29 00:48 CEST by the dblp team
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