Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jangwoo Kwon"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1765 (2024)
In the domain of prognosis and health management (PHM) for rotating machinery, the criticality of ensuring equipment reliability cannot be overstated. With developments in artificial intelligence (AI) and deep learning, there have been numerous attem
Externí odkaz:
https://doaj.org/article/76071ecf188d4ef2a3e2d30b434c8722
Publikováno v:
Sensors, Vol 22, Iss 1, p 157 (2021)
Deep neural networks (DNN) have proven to be efficient in computer vision and data classification with an increasing number of successful applications. Time series classification (TSC) has been one of the challenging problems in data mining in the la
Externí odkaz:
https://doaj.org/article/df4f6458507643e681a73da86c486a7a
Autor:
SeonWoo Lee, HyeonTak Yu, HoJun Yang, InSeo Song, JungMu Choi, JaeHeung Yang, GangMin Lim, Kyu-Sung Kim, ByeongKeun Choi, JangWoo Kwon
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1564 (2021)
Hypergravity accelerators are a type of large machinery used for gravity training or medical research. A failure of such large equipment can be a serious problem in terms of safety or costs. This paper proposes a prediction model that can proactively
Externí odkaz:
https://doaj.org/article/9674d0ac57de4ca2b8256c7dc9396ab0
Autor:
Sophy Ai, Jangwoo Kwon
Publikováno v:
Sensors, Vol 20, Iss 2, p 495 (2020)
Low-light image enhancement is one of the most challenging tasks in computer vision, and it is actively researched and used to solve various problems. Most of the time, image processing achieves significant performance under normal lighting condition
Externí odkaz:
https://doaj.org/article/4349dfa637d641d4b242a0864053b466
Autor:
Chanrith Poleak, Jangwoo Kwon
Publikováno v:
Applied Sciences, Vol 9, Iss 9, p 1871 (2019)
Automatically generating a novel description of an image is a challenging and important problem that brings together advanced research in both computer vision and natural language processing. In recent years, image captioning has significantly improv
Externí odkaz:
https://doaj.org/article/f5bf36e4f1c944f890b45a77c47d6b3e
Publikováno v:
Symmetry, Vol 8, Iss 7, p 68 (2016)
We propose an efficient image-matching method for deformable-object image matching using discrimination of deformable objects and geometric similarity clustering between feature-matching pairs. A deformable transformation maintains a particular form
Externí odkaz:
https://doaj.org/article/e874bfe1bbcb4890aebae1b1fd407528
Publikováno v:
Sensors, Vol 22, Iss 157, p 157 (2022)
Sensors; Volume 22; Issue 1; Pages: 157
Sensors (Basel, Switzerland)
Sensors; Volume 22; Issue 1; Pages: 157
Sensors (Basel, Switzerland)
Deep neural networks (DNN) have proven to be efficient in computer vision and data classification with an increasing number of successful applications. Time series classification (TSC) has been one of the challenging problems in data mining in the la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a516004f477d7a018cb6e86cda175d8
https://www.mdpi.com/1424-8220/22/1/157
https://www.mdpi.com/1424-8220/22/1/157
Publikováno v:
The Journal of The Korea Institute of Intelligent Transport Systems. 19:44-57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc1ccd575acca064fdaaa8df2d2a5c18
https://doi.org/10.12815/kits.2020.19.1.44
https://doi.org/10.12815/kits.2020.19.1.44
Publikováno v:
Journal of Sensors, Vol 2018 (2018)
This paper represents the clinical decision support system for video head impulse test (vHIT) based on fuzzy inference system. It examines the eye and head movement recorded by the eye movement tracking device, calculates the vestibulo-ocular reflex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba998f0bf2de8faa79c61f1823d6e504
https://doi.org/10.1155/2018/7168524
https://doi.org/10.1155/2018/7168524
Autor:
Borin Yun, Jangwoo Kwon
Publikováno v:
SID Symposium Digest of Technical Papers. 49:1619-1621
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b1ebd718aac0021cb477d912ff03f2
https://doi.org/10.1002/sdtp.12462
https://doi.org/10.1002/sdtp.12462