연구성과로 돌아가기

2020 연구성과별 연구자 정보 (515 / 2428)

※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Deep Matting for AR Based Interior Design Kim, In Su Kim, IS 2 Kyungpook Natl Univ, Daegu, South Korea maryam@vr.knu.ac.kr;kiminsu69@gmail.com;skjung@knu.ac.kr;
Deep Matting for AR Based Interior Design Jung, Soon Ki Jung, SK 3 교신저자 Kyungpook Natl Univ, Daegu, South Korea P-7687-2018 Jung, Soon Ki 0000-0003-0239-6785 Jung, Soon Ki maryam@vr.knu.ac.kr;kiminsu69@gmail.com;skjung@knu.ac.kr;
Deep Neural Network Based Ambient Airflow Control through Spatial Learning Kim, Sunghak Kim, S 1 LG Elect, H&A Control Lab, 84 Wanam Ro, Chang Won 51533, South Korea jay72.kim@lge.com;sharpic77@gmail.com;kimbring2@gmail.com;mholee@gmail.com;
Deep Neural Network Based Ambient Airflow Control through Spatial Learning Kim, Sunghak Kim, S 1 Kyungpook Natl Univ, Sch Elect Engn, Coll IT Engn, 80 Daehakro, Daegu 41566, South Korea jay72.kim@lge.com;sharpic77@gmail.com;kimbring2@gmail.com;mholee@gmail.com;
Deep Neural Network Based Ambient Airflow Control through Spatial Learning Choi, InChul Choi, I 2 Kyungpook Natl Univ, Sch Elect Engn, Coll IT Engn, 80 Daehakro, Daegu 41566, South Korea jay72.kim@lge.com;sharpic77@gmail.com;kimbring2@gmail.com;mholee@gmail.com;
Deep Neural Network Based Ambient Airflow Control through Spatial Learning Kim, Dohyeong Kim, D 3 Kyungpook Natl Univ, Sch Elect Engn, Coll IT Engn, 80 Daehakro, Daegu 41566, South Korea jay72.kim@lge.com;sharpic77@gmail.com;kimbring2@gmail.com;mholee@gmail.com;
Deep Neural Network Based Ambient Airflow Control through Spatial Learning Lee, Minho Lee, M 4 교신저자 Kyungpook Natl Univ, Sch Elect Engn, Coll IT Engn, 80 Daehakro, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho jay72.kim@lge.com;sharpic77@gmail.com;kimbring2@gmail.com;mholee@gmail.com;
Deep RNN-Based Channel Tracking for Wireless Energy Transfer System Kang, Jae-Mo Kang, JM 1 Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea 0000-0002-8181-5994 Kang, Jae-Mo jmkang@knu.ac.kr;cjchun84@gmail.com;ilmin.kim@queensu.ca;dikim@skku.ac.kr;
Deep RNN-Based Channel Tracking for Wireless Energy Transfer System Chun, Chang-Jae Chun, CJ 2 Korea Electrotechnol Res Inst, Ind Applicat Res Div, Chang Won 51543, South Korea AAF-2393-2019 Chun, Changjae jmkang@knu.ac.kr;cjchun84@gmail.com;ilmin.kim@queensu.ca;dikim@skku.ac.kr;
Deep RNN-Based Channel Tracking for Wireless Energy Transfer System Kim, Il-Min Kim, IM 3 Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada 0000-0003-1339-8057 KIM, IL MIN jmkang@knu.ac.kr;cjchun84@gmail.com;ilmin.kim@queensu.ca;dikim@skku.ac.kr;
Deep RNN-Based Channel Tracking for Wireless Energy Transfer System Kim, Dong In Kim, DI 4 교신저자 Sungkyunkwan Univ SKKU, Dept Elect & Comp Engn, Suwon 16419, South Korea ADC-1101-2022 Kim, Dong jmkang@knu.ac.kr;cjchun84@gmail.com;ilmin.kim@queensu.ca;dikim@skku.ac.kr;
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study Jang, Se Bum Jang, SB 1 Yeungnam Univ, Dept Emergency Med, Coll Med, Daegu, South Korea delee@knu.ac.kr;dryuri@naver.com;
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study Lee, Suk Hee Lee, SH 2 Daegu Catholic Univ, Dept Emergency Med, Sch Med, Daegu, South Korea delee@knu.ac.kr;dryuri@naver.com;
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study Lee, Dong Eun Lee, DE 3 교신저자 Kyungpook Natl Univ, Dept Emergency Med, Daegu, South Korea HTN-4501-2023 Lee, Dong Eun 0000-0002-2057-5261 Lee, Dong Eun delee@knu.ac.kr;dryuri@naver.com;
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study Park, Sin-Youl Park, SY 4 교신저자 Yeungnam Univ, Dept Emergency Med, Coll Med, Daegu, South Korea delee@knu.ac.kr;dryuri@naver.com;
페이지 이동: