Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model

Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model

In several countries, the public health and fishery industries have suffered from harmful algal blooms (HABs) that have escalated to become a global issue. Though computational modeling offers an effective means to understand and mitigate the adverse effects of HABs, it is challenging to design mode...

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Bibliographic Details
Main Authors: Sang-Soo Baek, JongCheol Pyo, Yong Sung Kwon, Seong-Jun Chun, Seung Ho Baek, Chi-Yong Ahn, Hee-Mock Oh, Young Ok Kim, Kyung Hwa Cho
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Marine Science
Subjects:
harmful algal blooms
deep learning
convolutional neural network
classification
regression
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2021.729954/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2021.729954/full

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