Zobrazeno 1 - 10
of 1 215
pro vyhledávání: '"Jun Hyeong In"'
This study introduces a modified score matching method aimed at generating molecular structures with high energy accuracy. The denoising process of score matching or diffusion models mirrors molecular structure optimization, where scores act like phy
Externí odkaz:
http://arxiv.org/abs/2411.19769
Transporting between arbitrary distributions is a fundamental goal in generative modeling. Recently proposed diffusion bridge models provide a potential solution, but they rely on a joint distribution that is difficult to obtain in practice. Furtherm
Externí odkaz:
http://arxiv.org/abs/2410.01500
Publikováno v:
Journal of Asian Sociology, 2024 Jun 01. 53(2), 127-149.
Externí odkaz:
https://www.jstor.org/stable/27320233
Publikováno v:
Annals of Rehabilitation Medicine, Vol 48, Iss 4, Pp 249-258 (2024)
Objective To prospectively compare the efficacy of conventional center-based cardiac rehabilitation (CBCR) and home-based cardiac rehabilitation (HBCR) during the coronavirus disease 2019 (COVID-19) pandemic. Methods Ninety patients were divided into
Externí odkaz:
https://doaj.org/article/04ce6ecc703b4494b302bd8f8fd28313
As quantum chemical properties have a dependence on their geometries, graph neural networks (GNNs) using 3D geometric information have achieved high prediction accuracy in many tasks. However, they often require 3D geometries obtained from high-level
Externí odkaz:
http://arxiv.org/abs/2304.03724
Autor:
Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul‐Ho Kim, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung‐won Lee, Sup Kim, Il‐Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 10, Iss 6, Pp n/a-n/a (2024)
Abstract EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection methods require sufficient samples and are costly. Deep learning is promising for mutation prediction in histopathological image analysis but has
Externí odkaz:
https://doaj.org/article/6a9c3887e8b440d1b1ea3a8bc4bed933
Autor:
Junho Kang, Jun Hyeong Lee, Hongui Cha, Jinhyeon An, Joonha Kwon, Seongwoo Lee, Seongryong Kim, Mert Yakup Baykan, So Yeon Kim, Dohyeon An, Ah-Young Kwon, Hee Jung An, Se-Hoon Lee, Jung Kyoon Choi, Jong-Eun Park
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract The complexity of the tumor microenvironment poses significant challenges in cancer therapy. Here, to comprehensively investigate the tumor-normal ecosystems, we perform an integrative analysis of 4.9 million single-cell transcriptomes from
Externí odkaz:
https://doaj.org/article/105f3625e9d74191b0c8c5478582fe77
Autor:
Kim, Sung Jun a, Kim, Seon Yong b, Park, Jun Hyeong c, Park, In-Sung d, ⁎, Park, Young Wook c, ⁎⁎, Ahn, Jinho a, c, ⁎⁎⁎
Publikováno v:
In Materials Science in Semiconductor Processing January 2025 185
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 21 (2024)
Mobile robots often follow humans in warehouse environments or indoor office spaces. A mobile robot requires a control system that stably follows humans without colliding with them. A human-following robot is composed of target detection, target trac
Externí odkaz:
https://doaj.org/article/1dd612e1feb34e4f9f287f94571835d2
Autor:
Lee, Jun Hyeong a, 1, Han, Jin Wook a, 1, Lee, Gaeun a, Han, Seulki a, Kim, Haeri a, Seo, Dongjin a, Kaizu, Riko b, Latag, Glenn Villena b, Hayashi, Tomohiro b, ⁎, Noh, Jaegeun a, c, ⁎
Publikováno v:
In Thin Solid Films 15 November 2024 808