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Yingbing Liu

As seen in: MDPI, Taylor & Francis Online
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Articles

A spatiotemporal chebyshev graph attention network model for sea surface salinity prediction

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By Yingbing Liu, Cong Xiao, Guangwen Peng
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Fluctuations in sea surface salinity (SSS) have significant impacts on marine ecosystems and global climate change.
Open in Who Shared Issue with article?

Semantic-Layout-Guided Image Synthesis for High-Quality Synthetic-Aperature Radar Detection Sample Generation

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By Yi Kuang, Fei Ma, Fangfang Li, Yingbing Liu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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