SAR and optical data fuse in dynamic graph network to classify sea ice with 96.69% accuracy
A dual-branch deep learning framework called MAG-Net fuses Sentinel-1 radar and Sentinel-2 optical imagery over Hudson Bay, reaching 96.69% mean ...
A dual-branch deep learning framework called MAG-Net fuses Sentinel-1 radar and Sentinel-2 optical imagery over Hudson Bay, reaching 96.69% mean ...
Researchers have introduced CORAL, a probabilistic deep generative model that leverages graph attention to integrate multiscale spatial transcriptomic, proteomic, metabolomic, ...
A new framework called CT-IDR combines recency-aware preference encoding, signed social influence propagation, and causal debiasing to improve both accuracy ...
HGACL-DRP achieved reported mean AUC values of 95.48% and 98.99% on two public cancer cell-line datasets in a computational drug-response ...
A blockchain-integrated machine-learning framework reported accuracies above 99% for distinguishing attacks from normal activity in two IoHT healthcare-device datasets.
A hybrid attention model combined six years of field observations with orchard geography to forecast occurrence levels and intensity for ...
The CMS Collaboration has demonstrated the first machine-learning-based full-event reconstruction applied to hadron collider data, achieving better jet energy resolution ...
A new deep learning framework called SCmapST uses a seeded matches strategy to map single-cell gene expression data onto spatial ...
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© 2025 Scienmag - Science Magazine