Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Seong-Joon Yoo"'
Publikováno v:
Alexandria Engineering Journal, Vol 89, Iss , Pp 172-183 (2024)
Closed-circuit television (CCTV) videos provide important data for intelligent control systems; however, sensitive information such as human faces and vehicle license plates must be de-identified by a de-identification framework before such videos ar
Externí odkaz:
https://doaj.org/article/81b79538d12d4a88872f22081d1557c7
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Although previous studies conducted on the segmentation of hemorrhage images were based on the U-Net model, which comprises an encoder-decoder architecture, these models exhibit low parameter passing efficiency between the encoder and decode
Externí odkaz:
https://doaj.org/article/028dd96e1e4741bf888a751ab4f81f65
Publikováno v:
Sensors, Vol 23, Iss 21, p 8746 (2023)
The extreme operating environment of the combined heat and power (CHP) engine is likely to cause anomalies and defects, which can lead to engine failure; thus, detecting engine anomalies is essential. In this study, we propose a parallel convolutiona
Externí odkaz:
https://doaj.org/article/1dd8e8e243264eb99a70f69a621839f6
Publikováno v:
IEEE Access, Vol 10, Pp 46342-46353 (2022)
Owing to their increasing amendments and complexity, most taxpayers do not have the required knowledge of tax laws, which results in issues in everyday life. To use tax counseling services through the internet, a person must first select a category o
Externí odkaz:
https://doaj.org/article/1f93ee65bd1b40fcbd3001d77e7b383a
Autor:
Hee Sun Park, Seong Joon Yoo
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 5, Iss 4, Pp 347-353 (2021)
Recently, most universities plan to open or open online learning courses, but the problem of dropout of online learning is still a problem for universities. Online learning has the advantage of being able to receive education anytime, anywhere, but i
Externí odkaz:
https://doaj.org/article/76a00939a21549abad96fcc208ce5a67
Publikováno v:
Sensors, Vol 23, Iss 11, p 5032 (2023)
In recent years, the development of deep learning technology has significantly benefited agriculture in domains such as smart and precision farming. Deep learning models require a large amount of high-quality training data. However, collecting and ma
Externí odkaz:
https://doaj.org/article/85df0973efe94547aa313274ca79b7d3
Publikováno v:
IEEE Access, Vol 8, Pp 189891-189912 (2020)
Neural architectures have accelerated the advancement in various domains by enabling automatic pattern detection, image classification, audio recognition, and face recognition etc. However, they are computationally expensive to design and expert know
Externí odkaz:
https://doaj.org/article/9bbeb26dd26047d7a34912b9d0d6930a
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Past studies of plant disease and pest recognition used classification methods that presented a singular recognition result to the user. Unfortunately, incorrect recognition results may be output, which may lead to further crop damage. To address thi
Externí odkaz:
https://doaj.org/article/f1d965c9665248ff80f651a6ada0b225
Publikováno v:
IEEE Access, Vol 7, Pp 154466-154479 (2019)
The primary goal of image color correction is to minimize color confusion for those people who experience deficiencies in their ability to distinguish certain colors. When the colors in a particular image are converted so as to make them perceivable
Externí odkaz:
https://doaj.org/article/1af18d69584d4f4c87d7008aff848643
Publikováno v:
PLoS ONE, Vol 16, Iss 10 (2021)
Background Diseases and pests have a profound effect on a yearly harvest and productivity in agriculture. A precise and accurate detection of the diseases and pests could facilitate timely treatment and management of the diseases and pests and lessen
Externí odkaz:
https://doaj.org/article/a9fbeee28da648e0a93e5be518ad28b8