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2024 연구성과별 연구자 정보 (1571 / 2344)

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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
Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images Park, Minji Park, M 1 Gachon Univ, Dept Hlth Sci, Gen Grad Sch, Incheon, South Korea yj20@gachon.ac.kr;
Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images Lim, Sewon Lim, S 2 Gachon Univ, Dept Hlth Sci, Gen Grad Sch, Incheon, South Korea yj20@gachon.ac.kr;
Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images Kim, Hajin Kim, H 3 Gachon Univ, Dept Hlth Sci, Gen Grad Sch, Incheon, South Korea yj20@gachon.ac.kr;
Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images Kim, Jae -Young Kim, JY 4 Kyungpook Natl Univ, Sch Dent, Dept Biochem, IHBR, Daegu, South Korea IUO-6466-2023 Kim, Jae-Young yj20@gachon.ac.kr;
Optimization of smoothing parameter for block matching and 3D filtering algorithm in low-dose chest and abdominal computed tomography images Lee, Youngjin Lee, Y 5 교신저자 Gachon Univ, Dept Radiol Sci, 191 Hambakmoe Ro, Incheon 21936, South Korea yj20@gachon.ac.kr;
Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network Pak, Seong Bae Pak, SB 1 Kyungpook Natl Univ, Dept Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea einstein@knu.ac.kr;
Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network Kim, Jin Beom Kim, JB 2 Kyungpook Natl Univ, Dept Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea einstein@knu.ac.kr;
Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network Park, Il Seouk Park, IS 3 교신저자 Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea einstein@knu.ac.kr;
Optimization of Thermoelectric Nanoantenna for Massive High-Output-Voltage Arrays Anam, Mohamad Khoirul Anam, MK 1 Natl Res & Innovat Agcy BRIN, Res Ctr Testing Technol & Stand, South Tangerang 15314, Indonesia AAQ-1580-2020 Anam, Mohamad Khoirul 0000-0002-4041-5003 Anam, Mohamad Khoirul moha048@brin.go.id;yudhis89@knu.ac.kr;sangjoc@knu.ac.kr;
Optimization of Thermoelectric Nanoantenna for Massive High-Output-Voltage Arrays Yudhistira, Yudhistira Yudhistira, Y 2 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea HMV-4088-2023 Yudhistira, Yudhistira 0000-0001-8468-5737 , Yudhistira moha048@brin.go.id;yudhis89@knu.ac.kr;sangjoc@knu.ac.kr;
Optimization of Thermoelectric Nanoantenna for Massive High-Output-Voltage Arrays Choi, Sangjo Choi, S 3 교신저자 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea 0000-0001-5377-311X Choi, Sangjo moha048@brin.go.id;yudhis89@knu.ac.kr;sangjoc@knu.ac.kr;
Optimization of wind farm power output using wake redirection control Balakrishnan, Raj Kiran Balakrishnan, RK 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehakro, Daegu 41566, South Korea shur@knu.ac.kr;
Optimization of wind farm power output using wake redirection control Son, Eunkuk Son, E 2 Korea Inst Energy Res, Jeju Global Res Ctr JGRC, Wind Energy Res Dept, 200 Haemajihaean Ro, Jeju Si 63357, Jeju Do, South Korea shur@knu.ac.kr;
Optimization of wind farm power output using wake redirection control Hur, Sung-ho Hur, SH 3 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehakro, Daegu 41566, South Korea 0000-0002-9263-1584 Hur, Sung-ho shur@knu.ac.kr;
Optimization study of a probe chuck for semiconductor wafers using genetic algorithm and deep reinforcement learnings Choi, Geuna Choi, G 1 Kyungpook Natl Univ, Dept Mech Engn, Daegu 41566, South Korea einstein@knu.ac.kr;
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