연구성과로 돌아가기
2025 연구성과별 연구자 정보 (228 / 1187)
※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation | Ha, Gayeon | Ha, G | 2 | Korea Inst Nucl Nonproliferat & Control, 1418 Yuseong Daero, Daejeon, South Korea | ars@knu.ac.kr; | |||||
| Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation | Han, Youkyung | Han, Y | 3 | Seoul Natl Univ Sci & Technol, Dept Civil Engn, 232 Gongneung Ro, Seoul, South Korea | ars@knu.ac.kr; | |||||
| Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation | Lee, Changhui | Lee, C | 4 | Seoul Natl Univ Sci & Technol, Dept Civil Engn, 232 Gongneung Ro, Seoul, South Korea | ars@knu.ac.kr; | |||||
| Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation | Lee, Hyunjin | Lee, H | 5 | Seoul Natl Univ Sci & Technol, Dept Civil Engn, 232 Gongneung Ro, Seoul, South Korea | ars@knu.ac.kr; | |||||
| Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation | Song, Ahram | Song, A | 6 | 교신저자 | Kyungpook Natl Univ, Dept Locat Based Informat Syst, 2559 Gyeongsang Daero, Sangju, South Korea | ars@knu.ac.kr; | ||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Lee, Ahyeong | Lee, A | 1 | Natl Inst Agr Sci, Dept Agr Engn, 310 Nongsaengmyeong Ro, Jeonju 54875, South Korea | hsj5596@knu.ac.kr; moon.kim@usda.gov; | |||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Baek, Insuck | Baek, I | 2 | ARS, USDA, Environm Microbial & Food Safety Lab, 10300 Baltimore Ave, Beltsville, MD 20705 USA | hsj5596@knu.ac.kr; moon.kim@usda.gov; | |||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Kim, Jinse | Kim, J | 3 | Natl Inst Agr Sci, Dept Agr Engn, 310 Nongsaengmyeong Ro, Jeonju 54875, South Korea | hsj5596@knu.ac.kr; moon.kim@usda.gov; | |||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Hong, Suk-Ju | Hong, SJ | 4 | 교신저자 | Natl Inst Agr Sci, Dept Agr Engn, 310 Nongsaengmyeong Ro, Jeonju 54875, South Korea | hsj5596@knu.ac.kr; moon.kim@usda.gov; | ||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Hong, Suk-Ju | Hong, SJ | 4 | 교신저자 | Kyungpook Natl Univ, Dept Smart Bioind Mech Engn, Daegu 41566, South Korea | hsj5596@knu.ac.kr; moon.kim@usda.gov; | ||||
| Deep learning approaches for bruised mandarin orange classification by fluorescence hyperspectral imaging | Kim, Moon S. | Kim, MS | 5 | 교신저자 | ARS, USDA, Environm Microbial & Food Safety Lab, 10300 Baltimore Ave, Beltsville, MD 20705 USA | hsj5596@knu.ac.kr; moon.kim@usda.gov; | ||||
| Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes | Kim, Jaehyung | Kim, J | 1 | Ulsan Natl Inst Sci & Technol UNIST, Sch Energy & Chem Engn, Ulsan 44919, South Korea | dkim@unist.ac.kr; | |||||
| Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes | Woo, Jihoon | Woo, J | 2 | Ulsan Natl Inst Sci & Technol UNIST, Sch Energy & Chem Engn, Ulsan 44919, South Korea | dkim@unist.ac.kr; | |||||
| Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes | Park, Joon Young | Park, JY | 3 | Ulsan Natl Inst Sci & Technol UNIST, Sch Energy & Chem Engn, Ulsan 44919, South Korea | dkim@unist.ac.kr; | |||||
| Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes | Kim, Kyung-Jin | Kim, KJ | 4 | Kyungpook Natl Univ, KNU Inst Microbiol, Sch Life Sci, BK21 FOUR KNU Creat Biores Grp, Daegu 41566, South Korea | MVY-3405-2025 | Kim, Kyung-Jin | dkim@unist.ac.kr; |
페이지 이동: