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 ...
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