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Author

Rahul Priyadarshi

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#reinforcement learning Open access Oct 2026

HGWO-RL: hybrid grey wolf optimization with Q-learning refinement for energy-aware multi-objective task scheduling in heterogeneous fog–cloud networks

Energy-aware task scheduling in fog–cloud IoT networks must balance monetary cost, deadlines and energy. We propose hybrid grey wolf optimizer-reinforcement learning (HGWO-RL), which combines a grey wolf optimizer (GWO) with a tabular Q-learning agent that selects move operators to refine the three elite solutions. The...

M. Sahoo, Raj Vikram, Rahul Priyadarshi · 0 citations
#federated learning Book Oct 2026

Deep Learning Methods for Cardiovascular Disease Detection in CT and MRI Scans

Cardiovascular diseases remain a leading health concern worldwide and increase the demand for rapid and accurate diagnostic techniques. Although CT and MRI imaging provide excellent cardiac studies, most analysis is slow and inconsistent when performed manually. Deep learning techniques showed strong potential in provi...

Rahul Priyadarshi, Om Prakash Singh, Rakesh Ranjan et al. · 0 citations

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