Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

With the growing prevalence of large-scale intelligent surveillance camera systems, the
burden on real-time video analytics pipelines has significantly increased due to continuous …

Deep Reinforcement Learning (DRL) has rapidly gained traction as a viable method for
optimizing control in real-time video streaming. Recent research endeavors are shifting …

The strict latency constraints of emerging vehicular applications make it unfeasible to
forward sensing data from vehicles to the cloud for processing. Fog computing shortens the …