Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Seokyeon Kim"'
Publikováno v:
IEEE Access, Vol 9, Pp 124281-124294 (2021)
In the direct volume rendering (DVR), it often takes a long time for a novice to manipulate the transfer function (TF) and analyze the volume data. To lessen the difficulty in volume rendering, several researchers have developed deep learning techniq
Externí odkaz:
https://doaj.org/article/db425978dadd40bebef29a640ecaf7fa
Publikováno v:
Sensors, Vol 21, Iss 15, p 5178 (2021)
Gaze movement and visual stimuli have been utilized to analyze human visual attention intuitively. Gaze behavior studies mainly show statistical analyses of eye movements and human visual attention. During these analyses, eye movement data and the sa
Externí odkaz:
https://doaj.org/article/2b61dc9770b44f2e928260cb2f70bcae
Autor:
Yun Jang, Seokyeon Kim
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5717 (2021)
Understanding and perceiving three-dimensional scientific visualizations, such as volume rendering, benefit from visual cues produced by the shading models. The conventional approaches are local shading models since they are computationally inexpensi
Externí odkaz:
https://doaj.org/article/354b1c5914fc48aaac76e6acea41b359
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5853 (2021)
The output of a deep-learning model delivers different predictions depending on the input of the deep learning model. In particular, the input characteristics might affect the output of a deep learning model. When predicting data that are measured wi
Externí odkaz:
https://doaj.org/article/cfb3cc5df4f64dd4ae0e59365e8da7a2
Autor:
Seokyeon Kim, Yun Jang
Publikováno v:
Journal of the Korea Computer Graphics Society. 27:25-32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffbcd6fe44f990e8abea2b73d72d0643
https://doi.org/10.15701/kcgs.2021.27.5.25
https://doi.org/10.15701/kcgs.2021.27.5.25
Publikováno v:
IEEE Access, Vol 9, Pp 124281-124294 (2021)
In the direct volume rendering (DVR), it often takes a long time for a novice to manipulate the transfer function (TF) and analyze the volume data. To lessen the difficulty in volume rendering, several researchers have developed deep learning techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::251e3c8a9194932cf955c0ef690b8b75
https://doi.org/10.1109/access.2021.3100429
https://doi.org/10.1109/access.2021.3100429
Publikováno v:
KIISE Transactions on Computing Practices. 26:435-441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c30cedb6134b0567985c6e902f1e02b1
https://doi.org/10.5626/ktcp.2020.26.10.435
https://doi.org/10.5626/ktcp.2020.26.10.435
Publikováno v:
Applied Sciences, Vol 11, Iss 5853, p 5853 (2021)
Applied Sciences
Volume 11
Issue 13
Applied Sciences
Volume 11
Issue 13
The output of a deep-learning model delivers different predictions depending on the input of the deep learning model. In particular, the input characteristics might affect the output of a deep learning model. When predicting data that are measured wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929b13dca868efe03e9a6715cae30c97
https://www.mdpi.com/2076-3417/11/13/5853
https://www.mdpi.com/2076-3417/11/13/5853
Autor:
Moo Yong Rhee, Hae Young Kim, Ki Chul Sung, Weon Kim, Sang Wook Lim, Soon Jun Hong, Jinho Shin, Seokyeon Kim, Sungha Park
Publikováno v:
Drug Design, Development and Therapy
Soon Jun Hong,1,* Ki-Chul Sung,2,* Sang-Wook Lim,3 Seok-Yeon Kim,4 Weon Kim,5 Jinho Shin,6 Sungha Park,7 Hae-Young Kim,8 Moo-Yong Rhee9,10 On behalf of MH_APOLLO to read: HM_APOLLO1Department of Cardiology, Cardiovascular Center, Korea University Ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e65b568a413b703289d4321c41f6112
https://www.dovepress.com/low-dose-triple-antihypertensive-combination-therapy-in-patients-with--peer-reviewed-article-DDDT
https://www.dovepress.com/low-dose-triple-antihypertensive-combination-therapy-in-patients-with--peer-reviewed-article-DDDT
Publikováno v:
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5178, p 5178 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 15
Sensors, Vol 21, Iss 5178, p 5178 (2021)
Sensors (Basel, Switzerland)
Gaze movement and visual stimuli have been utilized to analyze human visual attention intuitively. Gaze behavior studies mainly show statistical analyses of eye movements and human visual attention. During these analyses, eye movement data and the sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c401aa0b6feba47781ee1eabb28c80e6
https://doi.org/10.3390/s21155178
https://doi.org/10.3390/s21155178