Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Hyungu Kang"'
Autor:
Yeon Taek Choi, Jihye Kwon, Hyungu Kang, Minu Kim, Ki Jong Kim, Jae Min Lee, Hae-Won Cheong, Sunghak Lee, Hyoung Seop Kim
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 6154-6162 (2024)
This study aimed to develop a structural analysis method to replace and validate large-scale gas gun tests for evaluating the impact resistance of electronic equipment. By measuring projectile's deceleration through experiments and simulations, stres
Externí odkaz:
https://doaj.org/article/509fff8e3b214140a4a82479f0c8bf33
Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations
Publikováno v:
IEEE Access, Vol 12, Pp 5575-5583 (2024)
Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules. Existing studies have built a CNN based on fully supervised learning, which requires a training
Externí odkaz:
https://doaj.org/article/54173f9831eb44da90888118f895cd6b
Autor:
Hyungu Kang
Publikováno v:
International Journal of Management Studies (2019)
In the strategic management field, the study of building and sustaining competitive advantage for businesses has been one of the most important research areas. Although there are various attempts to explain the processes of building and sustaining co
Externí odkaz:
https://doaj.org/article/02e3f2161b634c648dce03cf3f99e112
Autor:
Hyun Jeong Kim, Jun Young Park, Tae Sup Lee, In Ho Song, Ye Lim Cho, Ju Ri Chae, Hyungu Kang, Jong Hoon Lim, Jung Hwan Lee, Won Jun Kang
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0211047 (2019)
BACKGROUND/PURPOSE:Aptamers are oligonucleotide or peptide molecules that bind to a target molecule with high affinity and specificity. The present study aimed to evaluate the target specificity and applicability for in vivo molecular imaging of an a
Externí odkaz:
https://doaj.org/article/6b3d9de4036c420a8d76057c805a1328
Publikováno v:
Physical Chemistry Chemical Physics. 24:26870-26878
Graph neural networks (GNNs) have been proven effective in the fast and accurate prediction of nuclear magnetic resonance (NMR) chemical shifts of a molecule. Existing methods, despite their effectiveness, suffer from high space complexity and are th
Publikováno v:
Journal of Veterinary Clinics. 38:199-203
Publikováno v:
2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN).
Autor:
Hyungu Kang, Seokho Kang
Publikováno v:
Engineering Applications of Artificial Intelligence. 120:105864
Autor:
Hyungu Kang1, Huh, Christopher2
Publikováno v:
International Journal of Management Cases. 2019, Vol. 21 Issue 3, p5-19. 15p.
Autor:
Kyung-Min, Baek, Eun Ha, Park, Hyungu, Kang, Mi-Jung, Ji, Hyun-Mee, Park, Jongbae, Heo, Hwajin, Kim
Publikováno v:
The Science of the total environment. 811
The seasonal characteristics of atmospheric water-soluble organic nitrogen (WSON) in particulate matter with a diameter of 2.5 μm or smaller (PM