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...
Eswar Karri, Archana Pallakonda, Rayappa David Amar Raj et al.· Technologies· 0 citations
Overall, the proposed framework provides a lightweight post-quantum-inspired cancellable biometric transformation framework that combines RLWE-inspired theoretical motivation with empirical system-level security evaluation, demonstrating reduced reconstruction and linkage capability under the evaluated threat model.
Archana Pallakonda, R. Padmavathy· Scientific Reports· 0 citations
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.
K. R. Jeevakamal, Rayappa David Amar Raj, Archana Pallakonda et al.· Neural computing & applicati...· 0 citations
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.
Sarvesh Kumar, Rayappa David Amar Raj, Archana Pallakonda et al.· Scientific Reports· 0 citations
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