The project aims to use the Reinforcement Learning (RL) paradigm to address issues in Fifth Generation (5G)/Sixth Generation (6G) wireless communication systems. RL algorithms are designed to work without knowledge of system parameters and converge t
Section: Computer Sciences and Information Technology (Research Project)
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Development of
Development of Multi-UAV Enabled Wireless Powered Collaborative Mobile Edge Computing System for Time-Sensitive IoT Applications
Research Project › Engineering Sciences
Development of
Development of Intelligent Computation Offloading Mechanism in UAV-Enabled Mobile Edge Computing Systems for Monitoring and Surveillance
Research Project › Computer Sciences and Information Technology
Smart, Sustainable,
Smart, Sustainable, and Low Latency Computational Offloading From Cellular Network With Cooperating UAVs Mounted RHS Communication: Multi-Agent Deep Reinforcement Learning Based Approach
Research Project › Engineering Sciences
Development of
Development of multi-class liver abnormalities detection system from ultrasound images using deep learning methods
Research Project › Medical Sciences
Landslide susceptibility
Landslide susceptibility Mapping and Monitoring using Machine Learning and IoT: A case study of Meghalaya, India
Research Project › Engineering Sciences
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