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 001 (Eng. Appl. Artif. Intell., 2020)

Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. - Tarek Berghout; Mohamed Benbouzid 001; Leila Hayet Mouss (IECON, 2021)

Machine Learning for Photovoltaic Systems Condition Monitoring: A Review. - Tarek Berghout; Mohamed Benbouzid 001; Xiandong Ma; Sinisa Djurovic; Leila Hayet Mouss (IECON, 2021)

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems. - Tarek Berghout; Mohamed Benbouzid 001; S. M. Muyeen; Toufik Bentrcia; Leila Hayet Mouss (IEEE Access, 2021)

Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis. - Tarek Berghout; Mohamed Benbouzid 001; Yassine Amirat (IECON, 2022)

Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids. - Tarek Berghout; Mohamed Benbouzid 001; Mohamed Amine Ferrag (IECON, 2022)

Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis. - Tarek Berghout; Mohamed Benbouzid 001; Toufik Bentrcia; Yassine Amirat; Leila Hayet Mouss (Entropy, 2022)

Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects. - Tarek Berghout; Mohamed Benbouzid 001; S. M. Muyeen (Int. J. Crit. Infrastructure Prot., 2022)

EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids. - Tarek Berghout; Mohamed Benbouzid 001 (Reliab. Eng. Syst. Saf., 2022)

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 001 (IECON, 2023)

Biofouling Detection and Extent Classification in Tidal Stream Turbines via a Soft Voting Ensemble Transfer Learning Approach. - Haroon Rashid; Mohamed Benbouzid 001; Yassine Amirat; Tarek Berghout; Hosna Titah-Benbouzid; Abdeslam Mamoune (IECON, 2023)

Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation. - Haroon Rashid; Mohamed Benbouzid 001; Hosna Titah-Benbouzid; Yassine Amirat; Tarek Berghout; Abdeslam Mamoune (IECON, 2023)

2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT. - Othmane Friha; Mohamed Amine Ferrag; Mohamed Benbouzid 001; Tarek Berghout; Burak Kantarci; Kim-Kwang Raymond Choo (Comput. Secur., 2023)

PrognosEase: A data generator for health deterioration prognosis. - Tarek Berghout; Mohamed Benbouzid 001 (SoftwareX, 2023)

Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids. - Tarek Berghout; Mohamed Benbouzid 001; Mohamed Amine Ferrag (IEEE Trans. Smart Grid, 2023)

MOSFET Remaining Useful Life Prediction Using Long Short-Term Memory Artificial Neural Network. - Sahbi Wannes; Jaouher Ben Ali; Tarek Berghout; Mohamed Benbouzid 001 (CoDIT, 2024)

AI-based Gas Turbine Multi-Component Health Prognosis via Recurrent Expansion of Gas Path Parameters. - Tarek Berghout; Yassine Amirat; Ahcène Bounceur; Mohamed Benbouzid 001 (ICCAD, 2024)

Acoustic Emission-based Fault Diagnosis for Drones with Heterogeneous Multiverse Recurrent Expansion: Avoiding Representation Glitch. - Tarek Berghout; Mohamed Benbouzid 001 (ICCAD, 2024)

Iron Deficiency Anemia Diagnosis for Young Children: Image-Driven Comparative Analysis of Recurrent and Projected Neural Networks. - Tarek Berghout (CCE, 2024)

Improved Anemia Medical Diagnosis on Complete Blood Count: Tuning Projected Long-Short Term Memory Layers with Coefficient of Determination. - Tarek Berghout (CCE, 2024)

Anemia Severity Detection in Pediatric Patients Through REXlayer-Integrated Deep Learning and Eye Conjunctival Imaging. - Tarek Berghout (CCE, 2024)

AI-driven Degradation Analysis of Oscillating Water Column Turbines under Uncertainty. - Tarek Berghout; Mohamed Benbouzid 001 (IECON, 2024)

Improving Data Quality for Prognostic Learning Systems Considering Complex Degradation Patterns. - Tarek Berghout; Yassine Amirat; Demba Diallo; Wei Hong Lim; Mohamed Benbouzid 001 (IECON, 2024)

Exploratory Data Analysis and Recurrent Expansion for Power Systems Cybersecurity Forensics. - Tarek Berghout; Wei Hong Lim; Yassine Amirat; Fatima Benbouzid-Si Tayeb; Mohamed Benbouzid 001 (IECON, 2024)

Biofouling detection and classification in Tidal Stream Turbines through soft voting ensemble transfer learning of video images. - Haroon Rashid; Mohamed Benbouzid 001; Yassine Amirat; Tarek Berghout; Hosna Titah-Benbouzid; Abdeslam Mamoune (Eng. Appl. Artif. Intell., 2024)

Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients. - Tarek Berghout (J. Imaging, 2024)

RegStack machine learning model for accurate prediction of tidal stream turbine performance and biofouling. - Haroon Rashid; Mohd Hanzla; Tarek Berghout; Yassine Amirat; Arindam Banerjee 002; Abdeslam Mamoune; Mohamed Benbouzid 001 (Expert Syst. Appl., 2025)

Recurrent Expansion: A Pathway Toward the Next Generation of Deep Learning. - Tarek Berghout (CoRR, 2025)