Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning.

Kim, Hye-Jin; Park, Sung Min; Choi, Byung Jin; Moon, Seung-Hyun; Kim, Yong-Hyuk

Kim, Hye-Jin; Park, Sung Min; Choi, Byung Jin; Moon, Seung-Hyun; Kim, Yong-Hyuk.

Afiliação

Kim HJ; Department of Computer Science, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Republic of Korea.
Park SM; R&D Center, Jubix Co., Ltd., B-808, Gunpo IT Valley, 17, Gosan-ro 148beon-gil, Gunpo-si, Gyeonggi-do 15850, Republic of Korea.
Choi BJ; R&D Center, Jubix Co., Ltd., B-808, Gunpo IT Valley, 17, Gosan-ro 148beon-gil, Gunpo-si, Gyeonggi-do 15850, Republic of Korea.
Moon SH; Department of Computer Science & Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
Kim YH; Department of Computer Science, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Republic of Korea.

Comput Intell Neurosci ; 2020: 7980434, 2020.

Article em En | MEDLINE | ID: mdl-32256552

Assuntos

Aprendizado de Máquina; Controle de Qualidade; Tempo (Meteorologia)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Controle de Qualidade / Tempo (Meteorologia) / Aprendizado de Máquina Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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