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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
Prospect of Deriving Galaxy Properties through Machine Learning: Application to Medium-Band Data from the 7DT Paek, Gregory S. H. Paek, GSH 6 Seoul Natl Univ, SNU Astron Res Ctr, Astron Program, Dept Phys & Astron, Seoul 08826, South Korea hjshim@knu.ac.kr;
Prospect of Deriving Galaxy Properties through Machine Learning: Application to Medium-Band Data from the 7DT Paek, Gregory S. H. Paek, GSH 6 Univ Hawaii, Inst Astron, 2680 Woodlawn Dr, Honolulu, HI 96822 USA hjshim@knu.ac.kr;
Prospect of Deriving Galaxy Properties through Machine Learning: Application to Medium-Band Data from the 7DT Ko, Eunhee Ko, E 7 Seoul Natl Univ, SNU Astron Res Ctr, Astron Program, Dept Phys & Astron, Seoul 08826, South Korea hjshim@knu.ac.kr;
Prospect of Deriving Galaxy Properties through Machine Learning: Application to Medium-Band Data from the 7DT Kim, Dohyeong Kim, D 8 Pusan Natl Univ, Dept Earth Sci, Busan 46241, South Korea hjshim@knu.ac.kr;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Sim, Taeyong Sim, T 1 AITRICS Corp, Seoul, South Korea KMA-4972-2024 SIM, TAEYONG hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Cho, Eun Young Cho, EY 2 AITRICS Corp, Seoul, South Korea KHD-4039-2024 Cho, EunYoung hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Kim, Ji-hyun Kim, JH 3 AITRICS Corp, Seoul, South Korea 0000-0003-2701-4317 KIM, Ji-hyun hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Lee, Kyung Hyun Lee, KH 4 AITRICS Corp, Seoul, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Kim, Kwang Joon Kim, KJ 5 AITRICS Corp, Seoul, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Kim, Kwang Joon Kim, KJ 5 Yonsei Univ, Coll Med, Dept Internal Med, Div Geriatr, Seoul, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Hahn, Sangchul Hahn, S 6 AITRICS Corp, Seoul, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Ha, Eun Yeong Ha, EY 7 Keimyung Univ, Dongsan Hosp, Sch Med, Dept Internal Med, Daegu, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Yun, Eunkyeong Yun, E 8 AITRICS Corp, Seoul, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Kim, In-Cheol Kim, IC 9 Keimyung Univ, Dongsan Hosp, Dept Internal Med, Div Cardiol,Sch Med, Daegu, South Korea hasej@aitrics.com;
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea Park, Sun Hyo Park, SH 10 Kyungpook Natl Univ, Sch Med, Dept Internal Med, Div Pulm & Crit Care Med, Daegu, South Korea hasej@aitrics.com;
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