Tarek Berghout

Orcid: 0000-0003-4877-4200

According to our database1, Tarek Berghout authored at least 23 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Links

Online presence:

On csauthors.net:

Bibliography

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

Biofouling detection and classification in Tidal Stream Turbines through soft voting ensemble transfer learning of video images.
Eng. Appl. Artif. Intell., 2024

Anemia Severity Detection in Pediatric Patients Through REXlayer-Integrated Deep Learning and Eye Conjunctival Imaging.
Proceedings of the 21st International Conference on Electrical Engineering, 2024

Improved Anemia Medical Diagnosis on Complete Blood Count: Tuning Projected Long-Short Term Memory Layers with Coefficient of Determination.
Proceedings of the 21st International Conference on Electrical Engineering, 2024

Iron Deficiency Anemia Diagnosis for Young Children: Image-Driven Comparative Analysis of Recurrent and Projected Neural Networks.
Proceedings of the 21st International Conference on Electrical Engineering, 2024

Acoustic Emission-based Fault Diagnosis for Drones with Heterogeneous Multiverse Recurrent Expansion: Avoiding Representation Glitch.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

AI-based Gas Turbine Multi-Component Health Prognosis via Recurrent Expansion of Gas Path Parameters.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

MOSFET Remaining Useful Life Prediction Using Long Short-Term Memory Artificial Neural Network.
Proceedings of the 10th International Conference on Control, 2024

2023
Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids.
IEEE Trans. Smart Grid, November, 2023

PrognosEase: A data generator for health deterioration prognosis.
SoftwareX, July, 2023

2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT.
Comput. Secur., April, 2023

Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation.
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.
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.
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.
Reliab. Eng. Syst. Saf., 2022

Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects.
Int. J. Crit. Infrastructure Prot., 2022

Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis.
Entropy, 2022

Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids.
Proceedings of the IECON 2022, 2022

Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis.
Proceedings of the IECON 2022, 2022

2021
Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems.
IEEE Access, 2021

Machine Learning for Photovoltaic Systems Condition Monitoring: A Review.
Proceedings of the IECON 2021, 2021

Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning.
Proceedings of the IECON 2021, 2021

2020
Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine.
Eng. Appl. Artif. Intell., 2020


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