Zobrazeno 1 - 10
of 678
pro vyhledávání: '"Song, Woo‐Jin"'
Autor:
Kim, Tae-Hee1 (AUTHOR) bighee92@naver.com, Song, Woo-Jin2 (AUTHOR) ssong@jejunu.ac.kr, Ryu, Min-Ok1 (AUTHOR) apple963@snu.ac.kr, Kim, Hyun-Tae3 (AUTHOR) petfoodis@gmail.com, Nam, Aryung4 (AUTHOR) aryung@konkuk.ac.kr, Youn, Hwa-Young1 (AUTHOR) aryung@konkuk.ac.kr
Publikováno v:
Animals (2076-2615). Oct2024, Vol. 14 Issue 20, p2994. 11p.
Autor:
Lee, Sangyeop, Lee, Yubin, Song, Woo-Jin, Han, Dong-Yeob, Kang, Jieun, Kim, Sungho, Park, Chanhyun, Kim, Hyeong-Jong, Kong, Minsik, Jung, Sung-Kyun, Jeong, Unyong, Song, Gyujin, Park, Soojin
Publikováno v:
In Energy Storage Materials November 2024 73
Autor:
Cho, Hee-Seon1 (AUTHOR), Song, Woo-Jin2 (AUTHOR) ssong@jejunu.ac.kr, Nam, Aryung3 (AUTHOR) aryung@konkuk.ac.kr, Li, Qiang4 (AUTHOR), An, Ju-Hyun5 (AUTHOR), Ahn, Jin-Ok5 (AUTHOR), Kim, Hyun-Tae6 (AUTHOR), Park, Su-Min1 (AUTHOR), Ryu, Min-Ok1 (AUTHOR), Kim, Myung-Chul2 (AUTHOR), Kim, Ju-Hun7 (AUTHOR), Youn, Hwa-Young1 (AUTHOR)
Publikováno v:
BMC Veterinary Research. 8/22/2024, Vol. 20 Issue 1, p1-7. 7p.
Because deep learning is vulnerable to noisy labels, sample selection techniques, which train networks with only clean labeled data, have attracted a great attention. However, if the labels are dominantly corrupted by few classes, these noisy samples
Externí odkaz:
http://arxiv.org/abs/2107.07041
Autor:
Song, Woo-Jin, Cheon, Deok-Hyeon, Song, HeeIn, Jung, Daeun, Chan Park, Hae, Yeong Hwang, Ju, Choi, Hyung-Jin, NamKoong, Cherl
Publikováno v:
In Brain Research 15 April 2024 1829
Autor:
Ha, Seongmin, Bae, Su-Jong, Lim, Chaehun, Min, Chung Gi, Myeong, Seongjae, Song, Woo-Jin, Lee, Young-Seak
Publikováno v:
In Journal of Industrial and Engineering Chemistry December 2024
Autor:
Yoon, Hyeon Min1 (AUTHOR), Song, Woo Jin1 (AUTHOR) pswjsong@schmc.ac.kr
Publikováno v:
Archives of Plastic Surgery. May2024, Vol. 51 Issue 3, p332-336. 5p.
We propose a deep learning-based channel estimation, quantization, feedback, and precoding method for downlink multiuser multiple-input and multiple-output systems. In the proposed system, channel estimation and quantization for limited feedback are
Externí odkaz:
http://arxiv.org/abs/2008.04147
Akademický článek
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Publikováno v:
In Journal of Alloys and Compounds 15 December 2023 968