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2024 연구성과별 연구자 정보 (541 / 2344)

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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
Deep U-NET Based Heating Film Defect Inspection System Park, H. J. Park, HJ 2 Kyungpook Natl Univ, Depart Mech Engn, 80Daehak Ro, Daegu 41566, South Korea hwangjwResearch@gmail.com;phj0917@knu.ac.kr;yihak@knu.ac.kr;
Deep U-NET Based Heating Film Defect Inspection System Yi, H. Yi, H 3 교신저자 Kyungpook Natl Univ, Depart Mech Engn, 80Daehak Ro, Daegu 41566, South Korea hwangjwResearch@gmail.com;phj0917@knu.ac.kr;yihak@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Lee, Jang Hyung Lee, JH 1 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Republ ofKorea, 130 Dongduk Ro, Daegu 41944, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Lee, Jang Hyung Lee, JH 1 Kyungpook Natl Univ, Cardiovasc Res Inst, Daegu, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Kang, Min Kyu Kang, MK 2 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Republ ofKorea, 130 Dongduk Ro, Daegu 41944, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Park, Jongmoo Park, J 3 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Republ ofKorea, 130 Dongduk Ro, Daegu 41944, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Lee, Seoung-Jun Lee, SJ 4 Kyungpook Natl Univ Hosp, Dept Radiat Oncol, Daegu, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Kim, Jae-Chul Kim, JC 5 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Republ ofKorea, 130 Dongduk Ro, Daegu 41944, South Korea shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Park, Shin-Hyung Park, SH 6 교신저자 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Republ ofKorea, 130 Dongduk Ro, Daegu 41944, South Korea LNQ-6428-2024 Park, Shinhyung 0000-0003-0291-8985 Park, Shin-Hyung shinhyungpark@knu.ac.kr;
Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors Park, Shin-Hyung Park, SH 6 교신저자 Kyungpook Natl Univ, Cardiovasc Res Inst, Daegu, South Korea LNQ-6428-2024 Park, Shinhyung 0000-0003-0291-8985 Park, Shin-Hyung shinhyungpark@knu.ac.kr;
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions Yang, Mingyu Yang, M 1 Yonsei Univ, Sch Math & Comp Computat Sci & Engn, Seoul 03722, South Korea HII-7499-2022 Yang, Mingyu 0000-0003-3895-3563 Yang, Mingyu yang926@yonsei.ac.kr;seongyoon25@yonsei.ac.kr;sunxiang@ouc.edu.cn;shnkim@yonsei.ac.kr;rtrtcom93@yonsei.ac.kr;tsparkjp@knu.ac.kr;jic@yonsei.ac.kr;
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions Kim, Seongyoon Kim, S 2 Yonsei Univ, Sch Math & Comp Computat Sci & Engn, Seoul 03722, South Korea 0000-0001-7326-5681 Kim, Seongyoon yang926@yonsei.ac.kr;seongyoon25@yonsei.ac.kr;sunxiang@ouc.edu.cn;shnkim@yonsei.ac.kr;rtrtcom93@yonsei.ac.kr;tsparkjp@knu.ac.kr;jic@yonsei.ac.kr;
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions Sun, Xiang Sun, X 3 Ocean Univ China, Sch Math Sci, Qingdao 266100, Peoples R China AAE-8877-2020 Sun, Xiang 0000-0001-6227-1218 Sun, Xiang yang926@yonsei.ac.kr;seongyoon25@yonsei.ac.kr;sunxiang@ouc.edu.cn;shnkim@yonsei.ac.kr;rtrtcom93@yonsei.ac.kr;tsparkjp@knu.ac.kr;jic@yonsei.ac.kr;
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions Kim, Sanghyun Kim, S 4 Yonsei Univ, Sch Math & Comp Computat Sci & Engn, Seoul 03722, South Korea 0000-0003-1087-5727 Kim, Sanghyun yang926@yonsei.ac.kr;seongyoon25@yonsei.ac.kr;sunxiang@ouc.edu.cn;shnkim@yonsei.ac.kr;rtrtcom93@yonsei.ac.kr;tsparkjp@knu.ac.kr;jic@yonsei.ac.kr;
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions Choi, Jiyong Choi, J 5 교신저자 Yonsei Univ, Sch Math & Comp Computat Sci & Engn, Seoul 03722, South Korea yang926@yonsei.ac.kr;seongyoon25@yonsei.ac.kr;sunxiang@ouc.edu.cn;shnkim@yonsei.ac.kr;rtrtcom93@yonsei.ac.kr;tsparkjp@knu.ac.kr;jic@yonsei.ac.kr;
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