Author

Kathiresan Jayabalan

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#reinforcement learning Open access Oct 2026

Radial-residual energy-aware deep learning framework for sustainable cloud–IoT intelligence in smart cities

Smart city Internet of Things (IoT) networks is generating a continuous stream of heterogeneous sensor data that tends to require a timely analysis under the strict energy, latency, and computational constraints. Existing cloud-edge learning approaches have improved IoT intelligence, but they often treat feature learni...

Kathiresan Jayabalan, P. Sreelatha, T. Dakshinamurthy et al. · Discover Internet of Things · 0 citations

#machine learning Preprint Sep 2026

An Attention-Driven Heterogeneous GNN Model for Credit Card Fraud Detection

This study proposes a credit card fraud detection framework using a data balancing technique and a deep learning (DL) model and indicates that this model is effective and can be applied to real-world CCFD scenarios.

Kathiresan Jayabalan, Sethuraman Radhakrishnan · 0 citations