Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model

Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model

Recent global warming has been accompanied by high water temperatures (HWTs) in coastal areas of Korea, resulting in huge economic losses in the marine fishery industry due to disease outbreaks in aquaculture. To mitigate these losses, it is necessary to predict such outbreaks to prevent or respond...

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Bibliographic Details
Main Authors:	Minkyu Kim, Hyun Yang, Jonghwa Kim
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Remote Sensing
Subjects:	high water temperature HWT long short-term memory LSTM recurrent neural network RNN
Online Access:	https://www.mdpi.com/2072-4292/12/21/3654

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