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| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Kim, Jonghong | Kim, J | 6 | Keimyung Univ, Dongsan Med Ctr, Dept Neurol, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | |||||
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Chung, Ho-Young | Chung, HY | 7 | Kyungpook Natl Univ, Sch Med, Dept Med Informat, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | |||||
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Lee, Chung-Young | Lee, CY | 8 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | ||||
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Lee, Chung-Young | Lee, CY | 8 | 교신저자 | Kyungpook Natl Univ, Untreatable Infect Dis Inst, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | ||||
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Jeong, Sungmoon | Jeong, S | 9 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Med Informat, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | ||||
| Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment | Jeong, Sungmoon | Jeong, S | 9 | 교신저자 | Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea | cylee87@knu.ac.kr; jeongsm00@gmail.com; | ||||
| Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size | Byun, Yong-Hoon | Byun, YH | 1 | Kyungpook Natl Univ, Dept Agr Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea | JKI-8441-2023 | Byun, Yong-Hoon | jwon@unist.ac.kr; | |||
| Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size | Son, Juik | Son, J | 2 | Kyungpook Natl Univ, Dept Agr Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea | jwon@unist.ac.kr; | |||||
| Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size | Yun, Jungmin | Yun, J | 3 | Univ Ulsan, Dept Civil & Environm Engn, Daehak Ro 93, Ulsan 680749, South Korea | jwon@unist.ac.kr; | |||||
| Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size | Choo, Hyunwook | Choo, H | 4 | Hanyang Univ, Dept Civil & Environm Engn, Seoul 04763, South Korea | jwon@unist.ac.kr; | |||||
| Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size | Won, Jongmuk | Won, J | 5 | 교신저자 | Ulsan Natl Inst Sci & Technol UNIST, Dept Civil Earth & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea | jwon@unist.ac.kr; | ||||
| Machine Learning-based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide Field: Catalogs of Spectroscopic and Photometric Redshifts | Kim, Taewan | Kim, T | 1 | Seoul Natl Univ, 1 Gwanak Ro, Seoul, South Korea | 0009-0001-3758-9440 | Kim, Taewan | hhwang@astro.snu.ac.kr; | |||
| Machine Learning-based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide Field: Catalogs of Spectroscopic and Photometric Redshifts | Sohn, Jubee | Sohn, J | 2 | Seoul Natl Univ, 1 Gwanak Ro, Seoul, South Korea | 0000-0002-9254-144X | Sohn, Jubee | hhwang@astro.snu.ac.kr; | |||
| Machine Learning-based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide Field: Catalogs of Spectroscopic and Photometric Redshifts | Hwang, Ho Seong | Hwang, HS | 3 | 교신저자 | Seoul Natl Univ, 1 Gwanak Ro, Seoul, South Korea | AAS-6010-2020 | HWANG, Ho | hhwang@astro.snu.ac.kr; | ||
| Machine Learning-based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide Field: Catalogs of Spectroscopic and Photometric Redshifts | Hwang, Ho Seong | Hwang, HS | 3 | 교신저자 | Macquarie Univ, Australian Astron Opt, Sydney, 2113, Australia | AAS-6010-2020 | HWANG, Ho | hhwang@astro.snu.ac.kr; |
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