IEEE

DualMamba: A Lightweight Spectral–Spatial Mamba-Convolution Network for Hyperspectral Image Classification

Abstract: The effectiveness and efficiency of modeling complex spectral–spatial relations are crucial for hyperspectral image (HSI) classification. Most existing methods based on convolution neural ...
GitHub

Stroke capacity planning model: python DES RAP

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...
IEEE

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set

Abstract: Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have ...
GitHub

Summary of the eight computational reproducibility assessments conducted as part of STARS Work Package 1.

In work package 1, we assessed the computational reproducibility of eight discrete-event simulation papers with models in Python and R. The reproductions and findings ...