연구성과로 돌아가기

2024 연구성과별 연구자 정보 (1092 / 2344)

※ 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
Hierarchical reasoning based on perception action cycle for visual question answering Lee, Minho Lee, M 3 교신저자 Kyungpook Natl Univ, Grad Sch Artificial Intelligence, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho 0000-0002-0441-7087 Lee, Minho safofoh.100@gmail.com;max.jalali@gmail.com;mholee@gmail.com;
Hierarchical reasoning based on perception action cycle for visual question answering Lee, Minho Lee, M 3 교신저자 ALI Co Ltd, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho 0000-0002-0441-7087 Lee, Minho safofoh.100@gmail.com;max.jalali@gmail.com;mholee@gmail.com;
Hierarchical reasoning based on perception action cycle for visual question answering Lee, Minho Lee, M 3 교신저자 Kyungpook Natl Univ, AI Inst Technol, KNU LG Elect Convergence Res Ctr, Daegu 41566, South Korea ABE-5735-2021 Lee, Min-Ho 0000-0002-0441-7087 Lee, Minho safofoh.100@gmail.com;max.jalali@gmail.com;mholee@gmail.com;
High Friction, Durability Non-slip Pads Consisting of Fluoroelastomer with Microstructures for High Vacuum and High Temperature Kim, Hyo Sung Kim, HS 1 Kyungpook Natl Univ, Dept Mech Engn, Daegu 41566, South Korea mkkwak@knu.ac.kr;sunghol@dau.ac.kr;
High Friction, Durability Non-slip Pads Consisting of Fluoroelastomer with Microstructures for High Vacuum and High Temperature Kwak, Moon Kyu Kwak, MK 2 교신저자 Kyungpook Natl Univ, Dept Mech Engn, Daegu 41566, South Korea F-2786-2012 Kwak, Moon mkkwak@knu.ac.kr;sunghol@dau.ac.kr;
High Friction, Durability Non-slip Pads Consisting of Fluoroelastomer with Microstructures for High Vacuum and High Temperature Lee, Sung Ho Lee, SH 3 교신저자 Dong A Univ, Dept Mech Engn, Pusan 49315, South Korea mkkwak@knu.ac.kr;sunghol@dau.ac.kr;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Qin, Fei Qin, F 1 Purdue Univ, Sch Engn Technol, W Lafayette, IN 47907 USA JBI-9137-2023 Qin, Fei 0000-0002-5732-7827 Qin, Fei sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Zhang, Yuxuan Zhang, YX 2 Purdue Univ, Sch Engn Technol, W Lafayette, IN 47907 USA sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Guo, Ziqi Guo, ZQ 3 Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Park, Tae Joon Park, TJ 4 Purdue Univ, Sch Mat Engn, W Lafayette, IN 47907 USA sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Park, Hongsik Park, H 5 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Kim, Chung Soo Kim, CS 6 Korea Inst Ceram Engn & Technol, Anal Tech Ctr, Jinju 52851, Gyeongsangnam D, South Korea sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Park, Jeongmin Park, J 7 Korea Inst Ceram Engn & Technol, Anal Tech Ctr, Jinju 52851, Gyeongsangnam D, South Korea sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects Fu, Xingyu Fu, XY 8 Purdue Univ, Sch Engn Technol, W Lafayette, IN 47907 USA GZM-3129-2022 Fu, Xingyu sunghlee@purdue.edu;
High on/off ratio SiO2-based memristors for neuromorphic computing: understanding the switching mechanisms through theoretical and electrochemical aspects No, Kwangsoo No, K 9 Dept Mat Sci & Engn, KAIST, Daejeon 34141, South Korea sunghlee@purdue.edu;
페이지 이동: