Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yeong-Hyeon Kim"'
Autor:
Ji Woo Hong, Suh Hee Yeom, Ye Sol Oh, Jae Hoon Park, Min Ho Kang, Yeong Hyeon Kim, Z-hun Kim, Kyung June Yim, Jin Woo Kim
Publikováno v:
Journal of the Korean Society of Food Science and Nutrition. 52:203-209
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c15b6e5fdc6ed6921c629006b871f424
https://doi.org/10.3746/jkfn.2023.52.2.203
https://doi.org/10.3746/jkfn.2023.52.2.203
Publikováno v:
Food Science and Technology, Volume: 43, Article number: e000523, Published: 03 APR 2023
Statically-based optimization was employed to maximize the total phenol content, total flavonoid content, and radical scavenging activity from purple carrot (Daucus carota L.) using ultrasound-assisted extraction. To enhance the extraction of bioacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::486df38797f62aeb83a65929a314a213
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100619&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612023000100619&lng=en&tlng=en
Publikováno v:
IEEE Robotics and Automation Letters. 6:6497-6504
In this letter, we propose a multi-spectral unsupervised domain adaptation for thermal image semantic segmentation. The proposed framework aims to address the data scarcity problem and boost segmentation performance in the thermal domain with the hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e20f032c5073e214a7c6589002ce9702
https://doi.org/10.1109/lra.2021.3093652
https://doi.org/10.1109/lra.2021.3093652
Autor:
Changje Park, Yeong Hyeon Kim
Publikováno v:
Korean Journal of family welfare. 26:425-446
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ceddee7356b8e24e518c4950f067793
https://doi.org/10.13049/kfwa.2021.26.3.3
https://doi.org/10.13049/kfwa.2021.26.3.3
Publikováno v:
Symmetry, Vol 12, Iss 1, p 119 (2020)
People with disabilities (PWD) face a number of challenges such as obstacle avoidance or taking a minimum path to reach a destination while travelling or taking public transport, especially in airports or bus stations. In some cases, PWD, and specifi
Externí odkaz:
https://doaj.org/article/be85b47459734e02929cc11ff9454459
Publikováno v:
Symmetry, Vol 11, Iss 10, p 1271 (2019)
In this paper, we propose an open-set object detection framework based on a dynamic hierarchical structure with incremental learning capabilities for unseen object classes. We were motivated by the observation that deep features extracted from visual
Externí odkaz:
https://doaj.org/article/4cdce240c92b4fc48de5b1cb53030a32
Autor:
Yeong Hyeon Kim, Chang Won Lee
Publikováno v:
Magazine of Fire Investigation Socity of Korea. 11:95-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a50cbbaabaafb438dd17a98eb1b7b6
https://doi.org/10.31345/fisk.2020.11.1.6
https://doi.org/10.31345/fisk.2020.11.1.6
Publikováno v:
Multimedia Tools and Applications. 79:6689-6708
We propose a robust object-detector ensemble by introducing a dynamic multi-layer multi-label (MLML)-tree–based adaptive deep learning framework. In many heterogeneous data distributions, deep attributes show latent hierarchical clustering properti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647015aa7a57d8302d3bd7cbc9c6020c
https://doi.org/10.1007/s11042-019-08285-7
https://doi.org/10.1007/s11042-019-08285-7
Publikováno v:
Symmetry
Volume 11
Issue 10
Symmetry, Vol 11, Iss 10, p 1271 (2019)
Volume 11
Issue 10
Symmetry, Vol 11, Iss 10, p 1271 (2019)
In this paper, we propose an open-set object detection framework based on a dynamic hierarchical structure with incremental learning capabilities for unseen object classes. We were motivated by the observation that deep features extracted from visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c31a6375d47f117df8a6e940883e0e6
Publikováno v:
KSII Transactions on Internet and Information Systems. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::697e701685032cadb8b84de1a9c33168
https://doi.org/10.3837/tiis.2019.02.015
https://doi.org/10.3837/tiis.2019.02.015