Tarek Berghout

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Feedforward Neural Networks

Industrial Systems

Fuzzy Connectedness

Top Venues

Eng. Appl. Artif. Intell.

Publications

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)
Tarek Berghout, Mohamed Benbouzid
Acoustic Emission-based Fault Diagnosis for Drones with Heterogeneous Multiverse Recurrent Expansion: Avoiding Representation Glitch. ICCAD (2024)
Tarek Berghout, Mohamed Benbouzid
PrognosEase: A data generator for health deterioration prognosis. SoftwareX 23 (2023)
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)
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 (2023)
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)
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)
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) (2023)
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 (2022)
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 (2022)
Tarek Berghout, Mohamed Benbouzid, Yassine Amirat
Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis. IECON (2022)
Tarek Berghout, Mohamed Benbouzid, Mohamed Amine Ferrag
Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids. IECON (2022)
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) (2022)
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)
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 (2021)
Tarek Berghout, Mohamed Benbouzid, Xiandong Ma, Sinisa Djurovic, Leila Hayet Mouss
Machine Learning for Photovoltaic Systems Condition Monitoring: A Review. IECON (2021)
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 (2020)