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Author

Rahul Priyadarshi

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HGWO-RL: Hybrid Grey Wolf Optimization with Q-Learning Refinement for Energy-Aware Multi-Objective Task Scheduling in Heterogeneous Fog–Cloud Networks

Abstract Energy efficiency in fog-cloud IoT task scheduling has become a pressing research challenge as the number of connected devices escalates toward 75 billion. Existing metaheuristic schedulers-including the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and the vanilla G...

Manoranjan 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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