Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction.

Lim, Seung Ji; Son, Moon; Ki, Seo Jin; Suh, Sang-Ik; Chung, Jaeshik

Lim, Seung Ji; Son, Moon; Ki, Seo Jin; Suh, Sang-Ik; Chung, Jaeshik.

Afiliação

Lim SJ; Water Cycle Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Son M; Water Cycle Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Energy and Environmental Technology, KIST School, Korea University of Science and Technology (UST), Seoul 02792, Republic of Korea.
Ki SJ; Department of Environmental Engineering, Gyeongsang National University, Jinju 52725, Republic of Korea.
Suh SI; Department of Energy System Engineering, Gyeongsang National University, Jinju 52725, Republic of Korea.
Chung J; Water Cycle Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; Division of Energy and Environmental Technology, KIST School, Korea University of Science and Technology (UST), Seoul 02792, Republic of Korea. Electronic address: jschung@kist.re.kr.

Bioresour Technol ; 370: 128518, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36565818

Assuntos

Aprendizado de Máquina

Palavras-chave

Bioprocess; Deep learning; Engineered system; Machine learning; Natural system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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