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Updated: May 30, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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利用合成数据来改善区域海平面预测

Guanchao Tong1,2,3, Jiayou Chao4, Wenxuan Ma5,6

  • 1College of Science, Mathematics and Technology, Wenzhou-Kean University, 88 Daxue Rd, Ouhai, Wenzhou, 325060, Zhejiang Province, China. tguancha@kean.edu.

Scientific reports
|January 28, 2025
PubMed
概括

这项研究引入了使用TimesGAN和ConvLSTM的深度学习方法,以改进海平面上升预测. 这种方法提高了准确性,特别是在潮计数据有限的发展中国家.

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