Author

K. M. Baalamurugan

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#reinforcement learning Open access Oct 2026

Adaptive intelligent resource optimization in wireless sensor networks using reinforcement learning and compressive sensing

In response to the energy and memory limitations of WSNs, this research work introduces a new approach: EMPIRE-CS (Energy and Memory-optimized Performance with Iterative Reinforcement and Compressive Sensing). It is a hybrid approach combining compressive sensing with reinforcement learning and game-theoretic cluster...

S. Balamurali, SatheeshKumar Palanisamy, N. Sathishkumar et al. · Scientific Reports · 0 citations

Open access Jul 2026

Interpretable deep learning framework for secure clinical data analytics

The findings indicate the effectiveness of the suggested strategy in providing secure, transparent, and reliable clinical decision support, rendering it an appropriate strategy to implement in contemporary healthcare systems.

M. A. Al-Khasawneh, D. Alsekait, K. Alkayid et al. · Scientific Reports · 0 citations