Výsledky vyhledávání - "Kim, Sang Hun"

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Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning

Autor: Wong, Vivian W. H., Kim, Sang Hun, Park, Junyoung, Park, Jinkyoo, Law, Kincho H.

The interrupting swap-allowed blocking job shop problem (ISBJSSP) is a complex scheduling problem that is able to model many manufacturing planning and logistics applications realistically by addressing both the lack of storage capacity and unforesee

Externí odkaz: http://arxiv.org/abs/2302.02506

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Akademický článek

Microbial chaperonin 60 inhibits osteoclast differentiation by interfering with RANK/RANKL binding and overexpression of lipocalin2

Autor: Cho, Joo-Young, Woo, Hee-Eun, Yeom, Jiah, An, Mirae, Ma, Seongho, Yim, Dong Joon, Kim, Sang-Hun, Lim, Young-Hee

Publikováno v: In BBA - Molecular Cell Research December 2024 1871(8)

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Akademický článek

Exploring a Novel Role of Glycerol Kinase 1 in Prostate Cancer PC-3 Cells.

Autor: Park, Bobae^1,2 (AUTHOR) gurisn@naver.com, Kim, Sang-Hun³ (AUTHOR) sang-hun.kim@yale.edu, Yu, Sun-Nyoung² (AUTHOR) hoyhoy1994@hanmail.net, Kim, Kwang-Youn⁴ (AUTHOR) lokyve@kiom.re.kr, Jeon, Hoyeon² (AUTHOR), Ahn, Soon-Cheol² (AUTHOR) ahnsc@pusan.ac.kr

Publikováno v: Biomolecules (2218-273X). Aug2024, Vol. 14 Issue 8, p997. 14p.

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Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

Autor: Park, Junyoung, Chun, Jaehyeong, Kim, Sang Hun, Kim, Youngkook, Park, Jinkyoo

Publikováno v: International Journal of Production Research International Journal of Production Research, Volume 59, 2021 - Issue 11, Pages 3360-3377

We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL). We formulate the scheduling process of JSSP as a sequential decision-making problem with graph representation of

Externí odkaz: http://arxiv.org/abs/2106.01086

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