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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
Flexible Neural Probe with an Optimized Electrode Density for Neutral Investigations Kim, Minseok Kim, M 3 Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu 41566, South Korea nschou@kbri.re.kr; hyogeunshin@knu.ac.kr;
Flexible Neural Probe with an Optimized Electrode Density for Neutral Investigations Chou, Namsun Chou, N 4 교신저자 Korea Brain Res Inst KBRI, Emot Cognit & Behav Res Grp, Daegu 41062, South Korea AAS-3841-2020 Chou, Namsun nschou@kbri.re.kr; hyogeunshin@knu.ac.kr;
Flexible Neural Probe with an Optimized Electrode Density for Neutral Investigations Shin, Hyogeun Shin, H 5 교신저자 Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu 41566, South Korea nschou@kbri.re.kr; hyogeunshin@knu.ac.kr;
Flexible Neural Probe with an Optimized Electrode Density for Neutral Investigations Shin, Hyogeun Shin, H 5 교신저자 Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu 41566, South Korea nschou@kbri.re.kr; hyogeunshin@knu.ac.kr;
Flocking dynamics of agents moving with a constant speed and a randomly switching topology Ahn, Hyunjin Ahn, H 1 Myongji Univ, Dept Math, Seoul, Gyeonggi Do, South Korea wjshim@knu.ac.kr;
Flocking dynamics of agents moving with a constant speed and a randomly switching topology Shim, Woojoo Shim, W 2 교신저자 Kyungpook Natl Univ, Dept Math Educ, Daegu, South Korea GYJ-0778-2022 Shim, Woojoo 0000-0003-3051-9420 Shim, Woojoo wjshim@knu.ac.kr;
Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall Jang, Se-Dong Jang, SD 1 Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea bhkimc@knu.ac.kr;
Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall Yoo, Jae-Hwan Yoo, JH 2 Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea bhkimc@knu.ac.kr;
Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall Lee, Yeon-Su Lee, YS 3 Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea bhkimc@knu.ac.kr;
Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall Kim, Byunghyun Kim, B 4 교신저자 Kyungpook Natl Univ, Dept Civil Engn, Daegu 41566, South Korea bhkimc@knu.ac.kr;
Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method Chen, Zengshun Chen, ZS 1 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China xu.ym@cqu.edu.cn;
Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method Zhang, Likai Zhang, LK 2 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China xu.ym@cqu.edu.cn;
Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method Wu, Yujie Wu, YJ 3 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China HSG-5270-2023 Wu, Yujie xu.ym@cqu.edu.cn;
Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method Guan, Tengda Guan, TD 4 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China xu.ym@cqu.edu.cn;
Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method Ma, Yuhao Ma, YH 5 Chongqing Univ, Coll Mat Sci & Engn, Chongqing 400045, Peoples R China xu.ym@cqu.edu.cn;
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