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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
Estimation of groundwater level based on the robust training of recurrent neural networks using corrupted data Han, Weon Shik Han, WS 5 Yonsei Univ, Dept Earth Syst Sci, 50 Yonsei Ro, Seoul 03722, South Korea KCY-0126-2024 Han, Weon Shik 0000-0002-7282-6253 Han, Weon Shik jeong.j@knu.ac.kr;egpark@knu.ac.kr;kykim@kigam.re.kr;hanw@yonsei.ac.kr;sxh60@kigam.re.kr;
Estimation of groundwater level based on the robust training of recurrent neural networks using corrupted data Suk, Heejun Suk, H 6 Korea Inst Geosci & Mineral Resources, 124 Gwahak Ro, Daejeon 34132, South Korea A-3212-2015 suk, heejun 0000-0001-6353-0031 suk, heejun jeong.j@knu.ac.kr;egpark@knu.ac.kr;kykim@kigam.re.kr;hanw@yonsei.ac.kr;sxh60@kigam.re.kr;
Estimation of High-Frequency Spectral Decay (κ) for the Gyeongju Area in South Korea Park, Seon Jeong Park, SJ 1 Korea Inst Nucl Safety, Daejeon, South Korea jung@knu.ac.kr;
Estimation of High-Frequency Spectral Decay (κ) for the Gyeongju Area in South Korea Lee, Jung Mo Lee, JM 2 교신저자 Kyungpook Natl Univ, Sch Earth Syst Sci, Daegu, South Korea jung@knu.ac.kr;
Estimation of High-Frequency Spectral Decay (κ) for the Gyeongju Area in South Korea Baag, Chang-Eob Baag, CE 3 Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea jung@knu.ac.kr;
Estimation of Slag Removal Path using CNN-based Path Probability of Ladle Image Blocks Kim, Jeong-Soo Kim, JS 1 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea hot1074@naver.com;seeahn@rist.re.kr;sypark@knu.ac.kr;
Estimation of Slag Removal Path using CNN-based Path Probability of Ladle Image Blocks Ahn, Geon-Tae Ahn, GT 2 Res Inst Ind Sci & Technol Pohang, Pohang, South Korea hot1074@naver.com;seeahn@rist.re.kr;sypark@knu.ac.kr;
Estimation of Slag Removal Path using CNN-based Path Probability of Ladle Image Blocks Park, Soon-Yong Park, SY 3 교신저자 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea HGV-2374-2022 Park, Soon-Yong 0000-0001-5090-9667 Park, Soon-Yong hot1074@naver.com;seeahn@rist.re.kr;sypark@knu.ac.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Hong, Mihee Hong, M 1 Kyungpook Natl Univ, Sch Dent, Dept Orthodont, Daegu, South Korea 0000-0001-6015-1482 Hong, Mihee drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Kyung, Hee-Moon Kyung, HM 2 Kyungpook Natl Univ, Sch Dent, Dept Orthodont, Daegu, South Korea drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Park, Hyo-Sang Park, HS 3 Kyungpook Natl Univ, Sch Dent, Dept Orthodont, Daegu, South Korea drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Yu, Won-Jae Yu, WJ 4 Kyungpook Natl Univ, Sch Dent, Dept Orthodont, Daegu, South Korea drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Baek, Seung-Hak Baek, SH 5 교신저자 Seoul Natl Univ, Sch Dent, Dept Orthodont, 101 Daehak Ro, Seoul 03080, South Korea NOE-8444-2025 Baek, Seung-Hak drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012-2017 Baek, Seung-Hak Baek, SH 5 교신저자 Seoul Natl Univ, Sch Dent, Dent Res Inst, 101 Daehak Ro, Seoul 03080, South Korea NOE-8444-2025 Baek, Seung-Hak drwhitc@unitel.co.kr;drwhite@unitel.co.kr;
Estimation of Water Surface Flow Velocity in Coastal Video Imagery by Visual Tracking with Deep Learning Kim, Jinah Kim, J 1 교신저자 Korea Inst Ocean Sci & Technol, Coastal Disaster Res Ctr, Busan, South Korea jaeilkim@knu.ac.kr;
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