Convolution Neural Network for the Prediction of <i>Cochlodinium polykrikoides</i> Bloom in the South Sea of Korea

In this study, the occurrence of <i>Cochlodinium polykrikoides</i> bloom was predicted based on spatial information. The South Sea of Korea (SSK), where <i>C. polykrikoides</i> bloom occurs every year, was divided into three concentrated areas. For each domain, the optimal model configuration was de...

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Principais autores:	Youngjin Choi, Youngmin Park, Weol-Ae Lim, Seung-Hwan Min, Joon-Soo Lee
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-12-01
Series:	Journal of Marine Science and Engineering
Assuntos:	<i>Cochlodinium polykrikoides</i> convolution neural network (CNN) prediction South Sea of Korea (SSK)
Acceso en liña:	https://www.mdpi.com/2077-1312/10/1/31
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