Mohammad AlShaikh Saleh

Orcid: 0000-0002-0971-075X

According to our database1, Mohammad AlShaikh Saleh authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers.
CoRR, May, 2026

Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection.
CoRR, March, 2026

2025
Attention-Enhanced AGRU Framework for Induction Motor Incipient Fault Diagnosis in Electric Vehicles.
IEEE Trans. Instrum. Meas., 2025

CapsPDNet: Optimized Capsule Network for Predicting Insulator Discharges Using UHF Signals.
IEEE Trans. Instrum. Meas., 2025

Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review.
IEEE Access, 2025

Classification of Corrosion in Underground Power Cables Using CNNs and Microscopic Imaging.
Proceedings of the 21st IEEE International Conference on Smart Technologies, 2025

2024
Leveraging Deep Learning for Fault Detection and Classification of Induction Machines: A Review.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

A Review on Partial Discharge Detection Techniques in High Voltage Rotating Machines.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Induction Motor Multi Incipient Fault Detection based on Gradient Boosting Algorithms.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Self-Adaptive Physics Informed Neural Network for Paper Insulation Degree of Polymerization Prediction.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Quantification of Void Effects on High Voltage Power Cable Insulation Degradation.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2023
Harnessing Recurrent-Based Deep Learning Models for Time Series Photovoltaic Power Forecasting.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023


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