,casting

Kexin Wang1,2, Yunxuan Bao1,2, Xiangyi Wei3

  • 1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China.

iScience
|March 12, 2026
PubMed
概括

本研究介绍了多尺度时间融合网络 (MSTF-Net),用于准确的道路表面温度 (RST) 预测. MSTF-Net显著提高了预测准确性和极端事件检测,帮助基础设施的弹性.

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