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2023 연구성과별 연구자 정보 (29 / 2675)

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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
A latent profile approach for classifying internet gamers based on motives for online gaming Kim, Bin -na Kim, B 1 Gachon Univ, Dept Psychol, Seongnam, South Korea 0000-0003-2667-193X Kim, Bin-Na hyoshin.kang@knu.ac.kr;jkp@knu.ac.kr;
A latent profile approach for classifying internet gamers based on motives for online gaming Kang, Hyo shin Kang, HS 2 교신저자 Kyungpook Natl Univ, Dept Psychol, Daegu, South Korea 0000-0001-8965-4278 KANG, HYO SHIN hyoshin.kang@knu.ac.kr;jkp@knu.ac.kr;
A latent profile approach for classifying internet gamers based on motives for online gaming Park, J. U. N. G. K. Y. U. Park, JUNGKYU 3 교신저자 Kyungpook Natl Univ, Dept Psychol, Daegu, South Korea 0000-0002-8320-576X Park, Jungkyu hyoshin.kang@knu.ac.kr;jkp@knu.ac.kr;
A longitudinal study of seaport selection: the perspective of container shipping companies Sim, Min-Seop Sim, MS 1 Korea Maritime & Ocean Univ, Busan, South Korea 0000-0001-8967-1799 Sim, Min-Seop y.seo@knu.ac.kr;
A longitudinal study of seaport selection: the perspective of container shipping companies Kim, Sung-Ho Kim, SH 2 Hapag Lloyd Korea Ltd, Busan, South Korea y.seo@knu.ac.kr;
A longitudinal study of seaport selection: the perspective of container shipping companies Kim, Yul-Seong Kim, YS 3 Korea Maritime & Ocean Univ, Busan, South Korea y.seo@knu.ac.kr;
A longitudinal study of seaport selection: the perspective of container shipping companies Seo, Young-Joon Seo, YJ 4 교신저자 Kyungpook Natl Univ, Sch Econ & Trade, Daegu, South Korea AAY-6105-2021 Seo, Young-Joon 0000-0002-9981-8106 Seo, Young-Joon y.seo@knu.ac.kr;
A Low Latency Approximate Adder Design Based on Dual Sub-Adders With Error Recovery Seo, Hyoju Seo, H 1 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea GSD-8672-2022 Seo, Hyoju 0000-0001-9383-4239 Seo, Hyoju hyoju@knu.ac.kr;yongtae@knu.ac.kr;
A Low Latency Approximate Adder Design Based on Dual Sub-Adders With Error Recovery Kim, Yongtae Kim, Y 2 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea 0000-0001-7039-973X KIM, YONGTAE hyoju@knu.ac.kr;yongtae@knu.ac.kr;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Lee, Hye Won Lee, HW 1 Yonsei Univ, Coll Med, Dept Internal Med, 50-1 Yonsei Ro, Seoul 03722, South Korea D-9081-2016 Lee, Hye 0000-0002-3552-3560 Lee, Hye Won beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Lee, Hye Won Lee, HW 1 Yonsei Univ, Coll Med, Inst Gastroenterol, Seoul, South Korea D-9081-2016 Lee, Hye 0000-0002-3552-3560 Lee, Hye Won beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Lee, Hye Won Lee, HW 1 Severance Hosp, Yonsei Liver Ctr, Seoul, South Korea D-9081-2016 Lee, Hye 0000-0002-3552-3560 Lee, Hye Won beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Hwiyoung Kim, H 2 Yonsei Univ, Ctr Clin Imaging Data Sci CCIDS, Dept Biomed Syst Informat, Coll Med, Seoul, South Korea L-9791-2019 Kim, Jung beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Kim, Hwiyoung Kim, H 2 Yonsei Univ, Coll Comp, Dept Artificial Intelligence, Seoul, South Korea L-9791-2019 Kim, Jung beomkkim@yuhs.ac;ksukorea@yuhs.ac;
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B Park, Taeyun Park, T 3 Yonsei Univ, Coll Comp, Dept Artificial Intelligence, Seoul, South Korea beomkkim@yuhs.ac;ksukorea@yuhs.ac;
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