Tarek Berghout

According to our database, Tarek Berghout authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids.

Tarek Berghout, Mohamed Benbouzid, Mohamed Amine Ferrag

IEEE Trans. Smart Grid, November, 2023

PrognosEase: A data generator for health deterioration prognosis.

Tarek Berghout, Mohamed Benbouzid

SoftwareX, July, 2023

2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT.

Othmane Friha, Mohamed Amine Ferrag, Mohamed Benbouzid, Tarek Berghout, Burak Kantarci, Kim-Kwang Raymond Choo

Comput. Secur., April, 2023

Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation.

Haroon Rashid, Mohamed Benbouzid, Hosna Titah-Benbouzid, Yassine Amirat, Tarek Berghout, Abdeslam Mamoune

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Biofouling Detection and Extent Classification in Tidal Stream Turbines via a Soft Voting Ensemble Transfer Learning Approach.

Haroon Rashid, Mohamed Benbouzid, Yassine Amirat, Tarek Berghout, Hosna Titah-Benbouzid, Abdeslam Mamoune

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks.

Harsh S. Dhiman, Dev Bhanushali, Chun-Lien Su, Tarek Berghout, Yassine Amirat, Mohamed Benbouzid

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids.

Tarek Berghout, Mohamed Benbouzid

Reliab. Eng. Syst. Saf., 2022

Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects.

Tarek Berghout, Mohamed Benbouzid, S. M. Muyeen

Int. J. Crit. Infrastructure Prot., 2022

Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis.

Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, Yassine Amirat, Leila Hayet Mouss

Entropy, 2022

Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids.

Tarek Berghout, Mohamed Benbouzid, Mohamed Amine Ferrag

Proceedings of the IECON 2022, 2022

Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis.

Tarek Berghout, Mohamed Benbouzid, Yassine Amirat

Proceedings of the IECON 2022, 2022

2021

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems.

Tarek Berghout, Mohamed Benbouzid, S. M. Muyeen, Toufik Bentrcia, Leila Hayet Mouss

IEEE Access, 2021

Machine Learning for Photovoltaic Systems Condition Monitoring: A Review.

Tarek Berghout, Mohamed Benbouzid, Xiandong Ma, Sinisa Djurovic, Leila Hayet Mouss

Proceedings of the IECON 2021, 2021

Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning.

Tarek Berghout, Mohamed Benbouzid, Leila Hayet Mouss

Proceedings of the IECON 2021, 2021

2020

Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine.

Tarek Berghout, Leila Hayet Mouss, Ouahab Kadri, Lotfi Saidi, Mohamed Benbouzid

Eng. Appl. Artif. Intell., 2020