DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
The ever-increasing sensor service, though opening a precious path and providing a deluge
of earth system data for deep-learning-oriented earth science, sadly introduce a daunting …
of earth system data for deep-learning-oriented earth science, sadly introduce a daunting …
From 5G-Advanced to 6G in 2030: New Services, 3GPP Advances and Enabling Technologies
R Giuliano - IEEE Access, 2024 - ieeexplore.ieee.org
The telecommunications systems are in continuous evolution. After voice, video, mobile
internet, and Internet of Things, what services will be supported in the near future? In the …
internet, and Internet of Things, what services will be supported in the near future? In the …
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
Autonomous intersection management (AIM) poses significant challenges due to the
intricate nature of real-world traffic scenarios and the need for a highly expensive centralised …
intricate nature of real-world traffic scenarios and the need for a highly expensive centralised …