Accurate prediction of typhoon satellite cloud image sequences is essential for short-term typhoon monitoring and forecasting, including center localization, intensity estimation, and evolution analysis. Although deep learning methods have been widely used for typhoon satellite cloud image sequence prediction, they oft...
Li-Ling Zhao, Xin-Yue Wang, Run-Ling Yu et al.· IEEE Transactions on Geoscie...· 0 citations
PCINet, a prior-guided correlation interaction network designed to balance reliable change discrimination and computational efficiency, is proposed, demonstrating competitive performance and a favorable accuracy–efficiency trade-off across the three datasets.
Wengzheng Wu, Shengyan Liu, Kai Qin et al.· Remote Sensing· 0 citations
The proliferation of interconnected devices in the Internet of Things (IoT) has driven the adoption of federated graph learning (FGL) to extract relational intelligence without compromising edge privacy. However, deploying FGL in real-world IoT environments faces a critical bottleneck: the extreme statistical and struc...
Xuan Li, Jun-Zhe Wang, Yi-Fan Fu et al.· IEEE Internet of Things Jour...· 0 citations
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