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Author

Praveen Kumar

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Open access Jul 2026

Sustainable AI Computing through Dynamic Workload Scheduling and Carbon-Aware Neural Network Optimization

These findings demonstrate that meaningful reductions in AI-related carbon emissions are achievable through coordinated system-level and model-level interventions without requiring fundamental changes to underlying hardware infrastructure.

Rooban Agrawal, Sudeshna, Reeva Sharma et al. · 0 citations
Open access 2026

Transformer-Based Double Deep Q-Network for AAV Coverage Path Planning and Data Harvesting

A Transformer-enhanced Double Deep Q-Network (TDDQN) framework that effectively integrates a Standard Transformer Encoder with a hierarchical global-local map representation for large-scale urban AAV navigation to enable scalable operation and temporal reasoning in complex urban landscapes is proposed.

Praveen Kumar, Yasir Waseem, Priyadarshni et al. · 0 citations
Open access Aug 2026

NEXT-GENERATION NETWORK MANAGEMENT IN INDIA: AN AI-DRIVEN FRAMEWORK INTEGRATING 5G, SDN, AND EDGE COMPUTING

An Artificial Intelligence (AI) centric network management framework that combines 5G radio access and core capabilities, Software-Defined Networking (SDN) for centralized and programmable control and Multi-access Edge Computing (MEC) for localized and low latency processing is introduced.

Praveen Kumar, S. Hashmi, Preeti Singhwal et al. · 0 citations

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