Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
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