Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...
Abstract: Deep learning has witnessed rapid progress through frameworks such as PyTorch, which has become the dominant choice for researchers and practitioners due to its dynamic computation, ...
Abstract: This paper addresses radio resource management (RRM) in highly dynamic device-to-device (D2D) networks. Existing heuristic and deep learning (DL) approaches often overlook the network’s time ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
local-global-graph-transformer/ ├── config/ │ ├── defaults.yaml # Edit simulation/training parameters here │ ├── paths.py # Automatic path management (linear/nonlinear) │ └── constants.py # Physical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results