Rayappa David Amar Raj

SFAD-Net: A Dual-Stream Spatial–Frequency Attention Network for Fingerprint Presentation Attack Detection

Fingerprint presentation attack detection (PAD) remains an open problem owing to continually developing spoofing schemes and large variations in sensors and acquisition conditions. In this paper, we propose SFAD-Net, a lightweight dual-stream spatial–frequency attention network for fingerprint presentation attack detec...

Hybrid attention-enhanced physics-informed neural framework for accurate electric vehicle range prediction

It was shown that the proposed PINN outperforms traditional neural networks in terms of accuracy (mean absolute errors), and the use of an attention mechanism emphasizes the role played by recent driving behavior in improving the predictive performance.

Adaptive primal–dual Q-learning for electric vehicle route optimization on real-world charging networks

A novel Dual Q–Adaptive Weighting model that balances reward and cost through a primal–dual learning mechanism is proposed and achieves the highest route accuracy of 78.66%, outperforming Double Q-Learning, Q-Learning, and traditional A* and Dijkstra algorithms.

Explainable AI for Smart Grid Intelligence: A Comprehensive Review of Techniques, Applications and Future Directions