Tarek Berghout

34 papers A 4C 11Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Process Innovation via Adaptive Multi-exemplar Driven Optimization: Enhancing Engineering Design and Global Optimization Performance. Int. J. Comput. Intell. Syst. Abhishek Sharma, Wei Hong Lim, Tarek Berghout, Meng Choung Chiong, Amel Ali Alhussan, Doaa Sami Khafaga, Marwa Metwally Eid, El-Sayed M. El-Kenawy
2026	J	`jnl`	Towards trustworthy and interpretable deep learning for vision-enabled industrial pipeline monitoring. Multim. Tools Appl. Brahim Rahmouni, Mounir Aouadj, Djamel Mouss, Abderahim Mahmoud Belounis, Tarek Berghout
2025	J	`jnl`	Recurrent Expansion: A Pathway Toward the Next Generation of Deep Learning. CoRR Tarek Berghout
2025	J	`jnl`	RegStack machine learning model for accurate prediction of tidal stream turbine performance and biofouling. Expert Syst. Appl. Haroon Rashid, Mohd Hanzla, Tarek Berghout, Yassine Amirat, Arindam Banerjee, Abdeslam Mamoune, Mohamed Benbouzid
2025	—	`conf`	Snakes in the Spectrum: Deep and Graph Reinforcement Learning Optimizers for Cognitive Radio Networks. RIF Haider Farhi, Abderraouf Messai, Tarek Berghout
2025	A	`conf`	Towards Efficient Monitoring of Slowly Evolving Degradation Processes: Insights on Feedback Mechanisms in Future Neural Network. ICCAD Tarek Berghout, Lotfi Saidi, Chakib Ben Njima
2025	A	`conf`	Wavelet Images and Joint Deep-Machine Learning for Anomaly Detection in Airbus Helicopters Exclusively with Healthy Accelerometer Data. ICCAD Tarek Berghout, Eric Bechhoefer, Lotfi Saidi, Chakib Ben Njima
2024	A	`conf`	AI-based Gas Turbine Multi-Component Health Prognosis via Recurrent Expansion of Gas Path Parameters. ICCAD Tarek Berghout, Yassine Amirat, Ahcène Bounceur, Mohamed Benbouzid
2024	C	`conf`	AI-driven Degradation Analysis of Oscillating Water Column Turbines under Uncertainty. IECON Tarek Berghout, Mohamed Benbouzid
2024	A	`conf`	Acoustic Emission-based Fault Diagnosis for Drones with Heterogeneous Multiverse Recurrent Expansion: Avoiding Representation Glitch. ICCAD Tarek Berghout, Mohamed Benbouzid
2024	—	`conf`	Anemia Severity Detection in Pediatric Patients Through REXlayer-Integrated Deep Learning and Eye Conjunctival Imaging. CCE Tarek Berghout
2024	J	`jnl`	Biofouling detection and classification in Tidal Stream Turbines through soft voting ensemble transfer learning of video images. Eng. Appl. Artif. Intell. Haroon Rashid, Mohamed Benbouzid, Yassine Amirat, Tarek Berghout, Hosna Titah-Benbouzid, Abdeslam Mamoune
2024	C	`conf`	Exploratory Data Analysis and Recurrent Expansion for Power Systems Cybersecurity Forensics. IECON Tarek Berghout, Wei Hong Lim, Yassine Amirat, Fatima Benbouzid-Si Tayeb, Mohamed Benbouzid
2024	—	`conf`	Improved Anemia Medical Diagnosis on Complete Blood Count: Tuning Projected Long-Short Term Memory Layers with Coefficient of Determination. CCE Tarek Berghout
2024	C	`conf`	Improving Data Quality for Prognostic Learning Systems Considering Complex Degradation Patterns. IECON Tarek Berghout, Yassine Amirat, Demba Diallo, Wei Hong Lim, Mohamed Benbouzid
2024	—	`conf`	Iron Deficiency Anemia Diagnosis for Young Children: Image-Driven Comparative Analysis of Recurrent and Projected Neural Networks. CCE Tarek Berghout
2024	J	`jnl`	Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients. J. Imaging Tarek Berghout
2024	C	`conf`	MOSFET Remaining Useful Life Prediction Using Long Short-Term Memory Artificial Neural Network. CoDIT Sahbi Wannes, Jaouher Ben Ali, Tarek Berghout, Mohamed Benbouzid
2024	J	`jnl`	The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection. J. Imaging Tarek Berghout
2023	J	`jnl`	2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT. Comput. Secur. Othmane Friha, Mohamed Amine Ferrag, Mohamed Benbouzid, Tarek Berghout, Burak Kantarci, Kim-Kwang Raymond Choo
2023	C	`conf`	Biofouling Detection and Extent Classification in Tidal Stream Turbines via a Soft Voting Ensemble Transfer Learning Approach. IECON Haroon Rashid, Mohamed Benbouzid, Yassine Amirat, Tarek Berghout, Hosna Titah-Benbouzid, Abdeslam Mamoune
2023	C	`conf`	Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks. IECON Harsh S. Dhiman, Dev Bhanushali, Chun-Lien Su, Tarek Berghout, Yassine Amirat, Mohamed Benbouzid
2023	C	`conf`	Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation. IECON Haroon Rashid, Mohamed Benbouzid, Hosna Titah-Benbouzid, Yassine Amirat, Tarek Berghout, Abdeslam Mamoune
2023	J	`jnl`	Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids. IEEE Trans. Smart Grid Tarek Berghout, Mohamed Benbouzid, Mohamed Amine Ferrag
2023	J	`jnl`	PrognosEase: A data generator for health deterioration prognosis. SoftwareX Tarek Berghout, Mohamed Benbouzid
2022	C	`conf`	Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids. IECON Tarek Berghout, Mohamed Benbouzid, Mohamed Amine Ferrag
2022	J	`jnl`	EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids. Reliab. Eng. Syst. Saf. Tarek Berghout, Mohamed Benbouzid
2022	J	`jnl`	Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis. Entropy Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, Yassine Amirat, Leila Hayet Mouss
2022	C	`conf`	Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis. IECON Tarek Berghout, Mohamed Benbouzid, Yassine Amirat
2022	J	`jnl`	Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects. Int. J. Crit. Infrastructure Prot. Tarek Berghout, Mohamed Benbouzid, S. M. Muyeen
2021	J	`jnl`	Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems. IEEE Access Tarek Berghout, Mohamed Benbouzid, S. M. Muyeen, Toufik Bentrcia, Leila Hayet Mouss
2021	C	`conf`	Machine Learning for Photovoltaic Systems Condition Monitoring: A Review. IECON Tarek Berghout, Mohamed Benbouzid, Xiandong Ma, Sinisa Djurovic, Leila Hayet Mouss
2021	C	`conf`	Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. IECON Tarek Berghout, Mohamed Benbouzid, Leila Hayet Mouss
2020	J	`jnl`	Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine. Eng. Appl. Artif. Intell. Tarek Berghout, Leila Hayet Mouss, Ouahab Kadri, Lotfi Saidi, Mohamed Benbouzid