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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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