Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...
Abstract: Contemporary infrared imaging systems in thermonuclear fusion devices are preventing thermal overloads on plasma-facing components (PFCs) relying on the surface temperature. Automatic ...
Abstract: Chromosome instance segmentation is a critical task in cytogenetic analysis, where accurate identification and delineation of individual chromosomes is essential for genetic diagnosis and ...
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