Objective Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression ...

Abstract: Hybrid GNNs, which learn both long-term structural information encoded in static graphs and temporal interactions within dynamic graphs, have attracted attention for their high predictive ...

Abstract: Multisatellite networks (MSNs) have become the prevalent mode for remote sensing intelligent interpretation, with the onboard models requiring class-incremental updates to accommodate the ...

Write in Markdown. Generate a beautiful, responsive blog. Deploy to GitHub Pages — all from the terminal or a built-in browser-based management UI. Most static site generators ask you to choose: ...