Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Seong-heum Kim"'
Publikováno v:
IEEE Access, Vol 11, Pp 131024-131044 (2023)
One of those illnesses that is most deadly to people is cancer. The only way to prevent any harm to humanity is by its early discovery and treatment. Various types of tests are conducted in the medical labs for the detection of cancer. Cancer can als
Externí odkaz:
https://doaj.org/article/ed3f0006258d4e358cf61025d030f4d4
Autor:
Samia Ahmed, Md. Sazzadur Rahman, Ismate Jahan, M. Shamim Kaiser, A. S. M. Sanwar Hosen, Deepak Ghimire, Seong-Heum Kim
Publikováno v:
IEEE Access, Vol 11, Pp 86522-86543 (2023)
Polycystic Ovary Syndrome (PCOS) is a critical hormonal disorder of women that significantly impacts life. In this new generation, women are more prone to PCOS. It is the cause of various problems, including infertility. Early detection of PCOS can r
Externí odkaz:
https://doaj.org/article/ee27df315c3041a58e1007185c8bd09d
Autor:
Deepak Ghimire, Seong-Heum Kim
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 316 (2022)
The superior performance of the recent deep learning models comes at the cost of a significant increase in computational complexity, memory use, and power consumption. Filter pruning is one of the effective neural network compression techniques suita
Externí odkaz:
https://doaj.org/article/fe1a0dd288524c1fa7e7e6a32062c33e
Autor:
Dayoung Kil, Seong-heum Kim
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 28:868-873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c00a93a8c3480c00011d2c902c6a1e97
https://doi.org/10.5302/j.icros.2022.22.0125
https://doi.org/10.5302/j.icros.2022.22.0125
Autor:
Jun-yong Kim, Seong-heum Kim
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 28:254-258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7343965cc74e527ca40801a3510562
https://doi.org/10.5302/j.icros.2022.22.0002
https://doi.org/10.5302/j.icros.2022.22.0002
Autor:
Dayoung Kil, Seong-Heum Kim
Publikováno v:
2022 22nd International Conference on Control, Automation and Systems (ICCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::199837a1502d63007d3abec08076d445
https://doi.org/10.23919/iccas55662.2022.10003901
https://doi.org/10.23919/iccas55662.2022.10003901
Autor:
Mohit Kumar, Ashwani Kumar, Sahil Verma, Pronaya Bhattacharya, Deepak Ghimire, Seong-heum Kim, A. S. M. Sanwar Hosen
Publikováno v:
Electronics. 12:2050
Advancements in Healthcare Internet of Things (H-IoT) systems have created new opportunities and solutions for healthcare services, including the remote treatment and monitoring of patients. In addition, the security and privacy of personal health da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a38fa32447aa71e605aee857716e71
https://doi.org/10.3390/electronics12092050
https://doi.org/10.3390/electronics12092050
Publikováno v:
IEEE Robotics and Automation Letters. 5:2506-2513
We introduce a new method to find a salient viewpoint with a deep representation, according to ease of semantic segmentation. The main idea in our segmentation network is to utilize the multipath network with informative two views. In order to collec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099b4d0164482aea4a6c8e9ff43d65ec
https://doi.org/10.1109/lra.2020.2972886
https://doi.org/10.1109/lra.2020.2972886
Publikováno v:
Electronics. 11:945
Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates from a combination of various feature extraction l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e2adbeddb5793898cad59325378665
https://doi.org/10.3390/electronics11060945
https://doi.org/10.3390/electronics11060945
Autor:
Sunghoon Im, Srinivasa G. Narasimhan, Gyeongmin Choe, Seong-heum Kim, Joon-Young Lee, In So Kweon
Publikováno v:
IEEE Robotics and Automation Letters. 3:1808-1815
In this letter, we present a data-driven method for scene parsing of road scenes to utilize single-channel near-infrared (NIR) images. To overcome the lack of data problem in non-RGB spectrum, we define a new color space and decompose the task of dee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6013c262b7d76566288dce50b6fd1f2
https://doi.org/10.1109/lra.2018.2801390
https://doi.org/10.1109/lra.2018.2801390