Abstract: Accurate and efficient cellular traffic prediction is crucial for enhancing the user quality of experience in mobile networks. However, this task faces significant challenges due to the ...

Abstract: In skeleton-based gesture recognition tasks, existing approaches based on graph convolutional networks (GCNs) struggle to capture the synergistic actions of nonadjacent graph nodes and the ...

Research Background The nonsmooth modeling method based on the cone complementarity problem (CCP) is one of the most effective approaches for solving spatial frictional contact problems. The ...

According to @ai_darpa, Portalgraph is introducing a cutting-edge volumetric projection technology that brings VR assets into the physical world without the need for goggles or isolation. Presented at ...

A Model Context Protocol (MCP) server providing human-like memory dynamics for AI assistants. Memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve ...