Author

S. Hassan

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Open access Oct 2026

A Catboost-Based Machine Learning Approach for Fault Detection in VSC-Based Multi-Terminal HVDC Grid

High-voltage direct current (HVDC) transmission systems face protection challenges due to the absence of natural current zero-crossings and the rapid rise of fault currents. This paper proposes a hierarchical fault detection and classification framework for multi-terminal HVDC networks that combines transient feature e...

Kshitij Niraula, Manilka Jayasooriya, M. N. Iqbal et al. · Processes · 0 citations

#graph neural networks Review Open access Sep 2026

AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions

Intelligent transportation systems (ITSs), Vehicle-to-Everything (V2X) communication and autonomous driving technologies have brought about significant changes in the modern vehicular network. At the same time, the cyber-attack surface has grown, leading to new and existing advanced security threats for Vehicular Ad ho...

S. Hassan, Sadia Din, M. I. Mohmand · Italian National Conference... · 0 citations

Open access Jul 2026

CAGE-QMol: A Constraint-Aware Quantum-Inspired Optimization Framework for Brain-Penetrant Multi-Target Alzheimer’s Drug Discovery

A mathematically grounded penalty selection rule for constrained drug-discovery QUBOs, a single end-to-end pipeline from raw public data to ranked, 3D-embedded leads, and reproducible head-to-head benchmarks between classical, quantum-inspired, and QAOA-simulated optimizers on a real Alzheimer’s task are contributed.

M. Arshad, David Q. Liu, Muhammad Bilal Sarwar et al. · Mathematics · 0 citations