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pro vyhledávání: '"Park, Gun"'
Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional m
Externí odkaz:
http://arxiv.org/abs/2405.18239
Autor:
Park, Gun-Hoo1,2 (AUTHOR) gunhoopark@kiost.ac.kr, Park, Eunkuk1,3 (AUTHOR) jude0815@ajou.ac.kr, Lee, Su-Jin1,4 (AUTHOR) sujinlee5699@gmail.com, Lim, Kyubin1,4 (AUTHOR), Kim, Jeonghyun1,4 (AUTHOR), Park, Jun Eun5 (AUTHOR) pedonco@korea.ac.kr, Jeong, Seon-Yong1,4 (AUTHOR) pedonco@korea.ac.kr
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9265. 13p.
Autor:
Oh, Jimin, Park, Gun, Kim, Hongjun, Kim, Sujung, Shin, Dong Ok, Kim, Kwang Man, Byon, Hye Ryung, Lee, Young-Gi, Hong, Seungbum
Here, we correlate the nanoscale morphology and chemical composition of solid electrolyte interphases (SEI) with the electrochemical property of graphite-based composite electrodes. Using electrochemical strain microscopy (ESM) and X-ray photoelectro
Externí odkaz:
http://arxiv.org/abs/2209.03651
Autor:
Marasinghe, Svini Dileepa, Gajanayaka, Navindu Dinara, Sathyadith, Jonathan, Lee, Youngdeuk, Bandara, Minthari Sakethanika, Eom, Tae-Yang, Kang, Yoon-Hyeok, Sunwoo, In Yung, Gang, Yehui, Wijewickrama, Sithumini, Jo, Eunyoung, Park, Heung Sik, Park, Gun-Hoo, Oh, Chulhong
Publikováno v:
In Science of the Total Environment 20 October 2024 948
Autor:
Ryu, Yong-Kyun, Lee, Won-Kyu, Park, Gun-Hoo, Kim, Taeho, Lee, Youngdeuk, Koh, Eun-Jeong, Heo, Soo-Jin, Choi, Woon-Yong, Oh, Chulhong
Publikováno v:
In Algal Research August 2024 82
Publikováno v:
In Microelectronics Reliability August 2024 159
Autor:
Duong Viet, Duc, Thi, Trinh Nguyen, Seol, Ji-Hwan, An, Jae-Hyeon, Park, Gun-Woo, Cao, Viet Anh, Nah, Junghyo, Le, Duc Duy, Minh, Hieu Nguyen, Cao Van, Phuoc, Jeong, Jong-Ryul
Publikováno v:
In Surfaces and Interfaces August 2024 51
Most conventional Neural Architecture Search (NAS) approaches are limited in that they only generate architectures without searching for the optimal parameters. While some NAS methods handle this issue by utilizing a supernet trained on a large-scale
Externí odkaz:
http://arxiv.org/abs/2103.01495
Akademický článek
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