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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
Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction Singh, Vijay P. Singh, VP 8 Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA AAH-9906-2020 Singh, Vijay swkim1968@dyu.ac.kr;
Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction Singh, Vijay P. Singh, VP 8 Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA AAH-9906-2020 Singh, Vijay swkim1968@dyu.ac.kr;
Estimation of best corrected visual acuity based on deep neural network Lee, Woongsup Lee, W 1 Gyeongsang Natl Univ, Dept Informat & Commun Engn, Tongyeong, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Kim, Jin Hyun Kim, JH 2 교신저자 Gyeongsang Natl Univ, Dept Informat & Commun Engn, Tongyeong, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Lee, Seongjin Lee, S 3 Gyeongsang Natl Univ, Dept AI Convergence Engn, Jinju, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Kim, Kyonghoon Kim, K 4 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Kang, Tae Seen Kang, TS 5 Gyeongsang Natl Univ, Changwon Hosp, Dept Ophthalmol, 11 Samjeongja Ro, Chang Won 51472, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Han, Yong Seop Han, YS 6 교신저자 Gyeongsang Natl Univ, Changwon Hosp, Dept Ophthalmol, 11 Samjeongja Ro, Chang Won 51472, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of best corrected visual acuity based on deep neural network Han, Yong Seop Han, YS 6 교신저자 Gyeongsang Natl Univ, Coll Med, Inst Hlth Sci, Dept Ophthalmol, Jinju, South Korea jin.kim@gnu.ac.kr;medcabin@naver.com;
Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries Lee, Jong-Hyun Lee, JH 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea whdugs8428@knu.ac.kr;insoolee@knu.ac.kr;
Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries Lee, In-Soo Lee, IS 2 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea whdugs8428@knu.ac.kr;insoolee@knu.ac.kr;
Estimation of SARS-CoV-2 Neutralizing Activity and Protective Immunity in Different Vaccine Types Using Three Surrogate Virus Neutralization Test Assays and Two Semiquantitative Binding Assays Targeting the Receptor-Binding Domain Lee, Beomki Lee, B 1 Sungkyunkwan Univ, Samsung Med Ctr, Dept Lab Med & Genet, Sch Med, Seoul, South Korea 0000-0003-3463-2121 Lee, Beomki cmcws@korea.ac.kr;krpeck@skku.edu;eskang@skku.edu;
Estimation of SARS-CoV-2 Neutralizing Activity and Protective Immunity in Different Vaccine Types Using Three Surrogate Virus Neutralization Test Assays and Two Semiquantitative Binding Assays Targeting the Receptor-Binding Domain Ko, Jae-Hoon Ko, JH 2 Sungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea 0000-0002-9490-6609 Ko, Jae-Hoon cmcws@korea.ac.kr;krpeck@skku.edu;eskang@skku.edu;
Estimation of SARS-CoV-2 Neutralizing Activity and Protective Immunity in Different Vaccine Types Using Three Surrogate Virus Neutralization Test Assays and Two Semiquantitative Binding Assays Targeting the Receptor-Binding Domain Lee, Kyoung Hwa Lee, KH 3 Yonsei Univ, Gangnam Severance Hosp, Dept Internal Med, Div Infect Dis,Coll Med, Seoul, South Korea AAJ-5213-2021 Lee, Kyoung-Hwa 0000-0003-0033-1398 Lee, Kyoung Hwa cmcws@korea.ac.kr;krpeck@skku.edu;eskang@skku.edu;
Estimation of SARS-CoV-2 Neutralizing Activity and Protective Immunity in Different Vaccine Types Using Three Surrogate Virus Neutralization Test Assays and Two Semiquantitative Binding Assays Targeting the Receptor-Binding Domain Kim, Yong Chan Kim, YC 4 Yonsei Univ, Yongin Severance Hosp, Dept Internal Med, Div Infect Dis,Coll Med, Yongin, South Korea cmcws@korea.ac.kr;krpeck@skku.edu;eskang@skku.edu;
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