2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
Mohammad Hadi Akbarzadeh, Mahmood Ahmadi, Mohammad Saeed Jahangiry +1
The exponential growth of Internet of Things (IoT) devices, smart vehicles, and latency-sensitive applications has created an urgent demand for efficient distributed computing para…
Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
Mohammad Parsa Toopchinezhad, Mahmood Ahmadi
The imminent rise of autonomous vehicles (AVs) is revolutionizing the future of transport. The Vehicular Fog Computing (VFC) paradigm has emerged to alleviate the load of compute-i…
Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions
Mohammad Parsa Toopchinezhad, Mahmood Ahmadi
Active Queue Management (AQM), a network-layer congestion control technique endorsed by the Internet Engineering Task Force (IETF), encourages routers to discard packets before the…