Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kyung Joo Cheoi"'
Publikováno v:
IEEE Access, Vol 11, Pp 15945-15953 (2023)
Deep learning-based methods have become an active research area in medical imaging. Malaria is diagnosed by testing red blood cells. Deep learning methods can be used to distinguish malaria infected cell images from non-infected cell images. The smal
Externí odkaz:
https://doaj.org/article/bb28d8391e4244ceb33993b2f04a690d
Publikováno v:
Plants, Vol 10, Iss 6, p 1257 (2021)
Deep learning architectures are widely used in state-of-the-art image classification tasks. Deep learning has enhanced the ability to automatically detect and classify plant diseases. However, in practice, disease classification problems are treated
Externí odkaz:
https://doaj.org/article/2b46335f97ef4110b2dcb8e06e59023c
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3161 (2020)
In general, convolutional neural networks (CNNs) maintain some level of translational invariance. However, the convolutional layer itself is translational-equivariant. The pooling layers provide some level of invariance. In object recognition, invari
Externí odkaz:
https://doaj.org/article/66fe9c720a264ad4bd3280162eff7863
Autor:
Kyung Joo Cheoi
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1020 (2020)
The topic of suspicious behavior detection has been one of the most emergent research themes in computer vision, video analysis, and monitoring. Due to the huge number of CCTV (closed-circuit television) systems, it is not easy for people to manually
Externí odkaz:
https://doaj.org/article/855826e16c8542acbb85fc3ac1244bd1
Publikováno v:
Journal of Korea Multimedia Society. 26:449-456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231335a28579a9bd99c195cc6aa3fcc4
https://doi.org/10.9717/kmms.2023.26.3.449
https://doi.org/10.9717/kmms.2023.26.3.449
Publikováno v:
The Journal of Supercomputing. 77:10424-10440
In recent years, low back pain rehabilitation exercises have been widely performed for spine-related illnesses. To facilitate rehabilitation exercises, pose-based human action recognition technique is used to determine human movement from simple vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15bd90400a2ad2ed334d72d308712ca6
https://doi.org/10.1007/s11227-021-03684-w
https://doi.org/10.1007/s11227-021-03684-w
Autor:
Kyung Joo Cheoi, Jaepil Ko
Publikováno v:
Multimedia Tools and Applications. 80:34283-34296
As interest in skin-beauty has recently increased, the consumption of skin-related products has steadily increased. Visiting a professional medical institution or clinic to determine one’s skin condition(s) for self-management is not only costly bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e4b40cebd7fb2fb87513cebfe3e65c
https://doi.org/10.1007/s11042-020-10208-w
https://doi.org/10.1007/s11042-020-10208-w
Autor:
Jaepil Ko, Kyung Joo Cheoi
Publikováno v:
Computer Science and Information Systems. 18:379-399
In this paper, a hybrid visual attention model to effectively detect a distant target is proposed. The model employs the human visual attention mechanism and consists of two models, the training model, and the detection model. In the training model,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d795aa59992eb2040649757ca5ffdc
https://doi.org/10.2298/csis200120001k
https://doi.org/10.2298/csis200120001k
Autor:
Kyung Joo Cheoi, Mi-Hye Kim
Publikováno v:
Wireless Personal Communications. 98:3227-3243
This paper introduces a selective attention system that guides users to detect the regions of interest more effectively by adaptively selecting and using spatial and temporal features according to the input images. Although the proposed system is bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f0a67824e7c13d3ddc731a4fd08220b
https://doi.org/10.1007/s11277-017-5043-0
https://doi.org/10.1007/s11277-017-5043-0
Publikováno v:
Applied Sciences, Vol 10, Iss 3161, p 3161 (2020)
In general, convolutional neural networks (CNNs) maintain some level of translational invariance. However, the convolutional layer itself is translational-equivariant. The pooling layers provide some level of invariance. In object recognition, invari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a5088adebab83e1caeb24164fe1e94
https://doi.org/10.3390/app10093161
https://doi.org/10.3390/app10093161