Zobrazeno 1 - 10 of 22 pro vyhledávání: '"JooHyun Shin"'
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Akademický článek
Beneficial Effects of Newly Isolated Akkermansia muciniphila Strains from the Human Gut on Obesity and Metabolic Dysregulation
Autor: Meng Yang, Shambhunath Bose, Sookyoung Lim, JaeGu Seo, JooHyun Shin, Dokyung Lee, Won-Hyong Chung, Eun-Ji Song, Young-Do Nam, Hojun Kim
Publikováno v: Microorganisms, Vol 8, Iss 9, p 1413 (2020)
The identification of new probiotics with anti-obesity properties has attracted considerable interest. In the present study, the anti-obesity activities of Akkermansia muciniphila (A. muciniphila) strains isolated from human stool samples and their r
Externí odkaz: https://doaj.org/article/c1ff9a1043f44cbfb683d9aded1e0edc
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2
Effect of Increased Depressive Feelings during the COVID-19 Pandemic on the Association between Depressive Mood and Suicidal Behavior: Using the 17th (2021) Korea Youth Risk Behavior Web-Based Survey (KYRBS)
Autor: Jinsu Yeo, Geunhyoung Park, Joohyun Shin, Kwanghyun Seo, Yeonsoon Ahn
Publikováno v: International Journal of Environmental Research and Public Health; Volume 19; Issue 22; Pages: 14868
This study investigated the impact of increased depressive feelings during the COVID-19 pandemic on the suicidal behavior of Korean high school students using the 17th Korea Youth Risk Behavior Web-Based Survey (KYRBS). We classified the independent
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4000d1bfdaa6d5596755d31c4b4e19e
https://pubmed.ncbi.nlm.nih.gov/36429585
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5
Reinforcement Learning – Overview of recent progress and implications for process control
Autor: Joohyun Shin, Kuang-Hung Liu, Jay H. Lee, Thomas A. Badgwell
Publikováno v: Computers & Chemical Engineering. 127:282-294
This paper provides an introduction to Reinforcement Learning (RL) technology, summarizes recent developments in this area, and discusses their potential implications for the field of process control, and more generally, of operational decision-makin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee3461496032211488e4214a14754933
https://doi.org/10.1016/j.compchemeng.2019.05.029
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Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming
Autor: Jay H. Lee, Joohyun Shin
Publikováno v: Computers & Chemical Engineering. 121:556-573
This study focuses on the linkage between decision layers that have different time scales. The resulting expansion of the boundary of decision-making process can provide more robust and flexible management and operation strategies by resolving incons
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e10566612cf1e33deebc8774d5d73f8
https://doi.org/10.1016/j.compchemeng.2018.11.020
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9
An optimization based strategy for crude selection in a refinery with lube hydro-processing
Autor: Joohyun Shin, Kyungseok Noh, Jay H. Lee
Publikováno v: Computers & Chemical Engineering. 116:91-111
An optimization-based strategy is developed for crude selection in a refinery with lube base oil (LBO) producing capability. Crude oil is classified into five types based on the viscosity index (VI) and the compositional aspect of vacuum gas oil (VGO
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06ced43660cd736f764881b9bc164d07
https://doi.org/10.1016/j.compchemeng.2017.09.025
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10
Machine learning: Overview of the recent progresses and implications for the process systems engineering field
Autor: Jay H. Lee, Joohyun Shin, Matthew J. Realff
Publikováno v: Computers & Chemical Engineering. 114:111-121
Machine learning (ML) has recently gained in popularity, spurred by well-publicized advances like deep learning and widespread commercial interest in big data analytics. Despite the enthusiasm, some renowned experts of the field have expressed skepti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38615fc9fa2d44497124ba8bdfd0c773
https://doi.org/10.1016/j.compchemeng.2017.10.008
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