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Author

S. Nivas

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Conference Open access Oct 2026

An Optimized Machine Learning and Reinforcement Learning based Framework for Edge–Cloud Computing in Industrial Automation

Industrial automation systems generate a large volume of real-time data through Industrial Internet of Things (IIoT) devices, requiring efficient prediction and resource management for uninterrupted operations. Traditional cloud-centric models often face challenges such as increased latency, limited scalability, and in...

B. Arivazhagan, S. Divyabharathi, P. Revathy et al. · 0 citations
Preprint Aug 2026

Designing, Deployment and Field Testing of C2Stack for Networked Intelligent Software-Defined UAVs

The experiments demonstrate the feasibility of real-time, data-driven optimization in dynamic aerial environments, while also revealing practical challenges in field deployments of networked UAV systems, including power constraints, sensing limitations, and deployment logistics.

Maxwell Mcmanus, Zhao-Xi Zhang, S. Nivas et al. · 0 citations

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