MCSTNet: a memory-contextual spatiotemporal transfer network for prediction of SST sequences and fronts with remote sensing data

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Vydané v:Frontiers in Marine Science Ročník 10
Hlavní autori: Ying Ma, Wen Liu, Ge Chen, Guoqiang Zhong, Fenglin Tian
Médium: Journal Article
Jazyk:Japanese
Vydavateľské údaje: Frontiers Media SA 16.05.2023
Predmet:
General. Including nature conservation, geographical distribution
MCSTNet
Q
QH1-199.5
Science
SST sequence and front prediction tasks
the encoder-decoder structure
the memory-contextual module
the time transfer module
ISSN:2296-7745
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Author Fenglin Tian
Guoqiang Zhong
Wen Liu
Ge Chen
Ying Ma
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  fullname: Guoqiang Zhong
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  fullname: Fenglin Tian
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MCSTNet
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SST sequence and front prediction tasks
the encoder-decoder structure
the memory-contextual module
the time transfer module
Title MCSTNet: a memory-contextual spatiotemporal transfer network for prediction of SST sequences and fronts with remote sensing data
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