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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
Machine learning approaches for reconstructing gridded precipitation based on multiple source products May, Do Thi Tuyet May, DT 4 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsang daero, Sangju 37224, South Korea leegiha@knu.ac.kr;
Machine learning approaches for reconstructing gridded precipitation based on multiple source products Jung, Sungho Jung, SH 5 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsang daero, Sangju 37224, South Korea ABD-1742-2021 Jung, Sung Ho leegiha@knu.ac.kr;
Machine learning approaches for reconstructing gridded precipitation based on multiple source products Lee, Giha Lee, G 6 교신저자 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsang daero, Sangju 37224, South Korea leegiha@knu.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Lee, Subin Lee, SB 1 Gachon Univ, Dept Elect Engn, 1342 Seongnam Daero, Seongnam 13120, South Korea 0000-0001-9856-7758 Lee, Subin kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Jang, Byung Chul Jang, BC 2 Kyungpook Natl Univ, Sch Elect Engn, 80 Daehakro, Daegu 41566, South Korea GYV-0656-2022 Jang, Byung Chul 0000-0002-2254-7918 Jang, Byung Chul kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Jang, Byung Chul Jang, BC 2 Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehakro, Daegu 41566, South Korea GYV-0656-2022 Jang, Byung Chul 0000-0002-2254-7918 Jang, Byung Chul kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Kim, Minseo Kim, M 3 Gachon Univ, Dept Elect Engn, 1342 Seongnam Daero, Seongnam 13120, South Korea kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Lim, Si Heon Lim, SH 4 Kumoh Natl Inst Technol, Dept Energy Engn Convergence, 61 Daehakro, Gumi Si 39177, Gumi, South Korea kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Lim, Si Heon Lim, SH 4 Kumoh Natl Inst Technol, Sch Mat Sci & Engn, 61 Daehakro, Gumi Si 39177, Gumi, South Korea kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Ko, Eunbee Ko, EB 5 Kumoh Natl Inst Technol, Dept Energy Engn Convergence, 61 Daehakro, Gumi Si 39177, Gumi, South Korea kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Ko, Eunbee Ko, EB 5 Kumoh Natl Inst Technol, Sch Mat Sci & Engn, 61 Daehakro, Gumi Si 39177, Gumi, South Korea kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Kim, Hyun Ho Kim, HH 6 교신저자 Kumoh Natl Inst Technol, Dept Energy Engn Convergence, 61 Daehakro, Gumi Si 39177, Gumi, South Korea GQH-5608-2022 Kim, Hyunho kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Kim, Hyun Ho Kim, HH 6 교신저자 Kumoh Natl Inst Technol, Sch Mat Sci & Engn, 61 Daehakro, Gumi Si 39177, Gumi, South Korea GQH-5608-2022 Kim, Hyunho kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine Learning Attacks-Resistant Security by Mixed-Assembled Layers-Inserted Graphene Physically Unclonable Function Yoo, Hocheon Yoo, H 7 교신저자 Gachon Univ, Dept Elect Engn, 1342 Seongnam Daero, Seongnam 13120, South Korea ABZ-6637-2022 Yoo, Hocheon kimhh@kumoh.ac.kr;hyoo@gachon.ac.kr;
Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database Kim, Jung Kwon Kim, JK 1 Seoul Natl Univ, Bundang Hosp, Dept Urol, Seongnam, South Korea ssbyun@snubh.org;
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