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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
INDOLE ACETIC ACID AND GIBBERELLIC ACID ENHANCE PHYSIOLOGICAL AND BIOCHEMICAL PERFORMANCE OF JATROPHA CURCAS L. UNDER WATERLOGGING AND DROUGHT STRESS Kim, Kyung-Min Kim, KM 6 교신저자 Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea C-7007-2014 Kim, Kyung-Min Kim waheedmurad@awkum.edu.pk;kkm@knu.ac.kr;
Indoor Positioning Using Wi-Fi RTT based on Stacked Ensemble Model Dong, Jiabin Dong, J 1 Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea dong116745@knu.ac.kr;rana.lila98@knu.ac.kr;2023000464@knu.ac.kr;junkyu891015@gmail.com;jgpark@knu.ac.kr;
Indoor Positioning Using Wi-Fi RTT based on Stacked Ensemble Model Rana, Lila Rana, L 2 Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea dong116745@knu.ac.kr;rana.lila98@knu.ac.kr;2023000464@knu.ac.kr;junkyu891015@gmail.com;jgpark@knu.ac.kr;
Indoor Positioning Using Wi-Fi RTT based on Stacked Ensemble Model Li, Jinlong Li, J 3 Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea dong116745@knu.ac.kr;rana.lila98@knu.ac.kr;2023000464@knu.ac.kr;junkyu891015@gmail.com;jgpark@knu.ac.kr;
Indoor Positioning Using Wi-Fi RTT based on Stacked Ensemble Model Hwang, Jungyu Hwang, J 4 Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea dong116745@knu.ac.kr;rana.lila98@knu.ac.kr;2023000464@knu.ac.kr;junkyu891015@gmail.com;jgpark@knu.ac.kr;
Indoor Positioning Using Wi-Fi RTT based on Stacked Ensemble Model Park, Joongoo Park, J 5 교신저자 Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea dong116745@knu.ac.kr;rana.lila98@knu.ac.kr;2023000464@knu.ac.kr;junkyu891015@gmail.com;jgpark@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Seng, Daniel W. R. Seng, DWR 1 Natl Hlth Grp, Woodlands Hlth, Dept Orthopaed Surg, Singapore, Singapore 0000-0002-5036-9434 Seng, Daniel W.R cwoh@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Oh, Chang-Wug Oh, CW 2 교신저자 Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Orthopaed Surg, 130 Dongdeok Ro, Daegu 41944, South Korea AAO-4602-2021 Oh, Chang-Wug cwoh@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Kim, Joon-Woo Kim, JW 3 Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Orthopaed Surg, 130 Dongdeok Ro, Daegu 41944, South Korea cwoh@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Park, Kyeong-Hyeon Park, KH 4 Yonsei Univ, Severance Childrens Hosp, Coll Med, Dept Orthopaed Surg, Seoul 03722, South Korea KEH-4919-2024 Park, KyeongHyeon 0000-0001-7215-6176 Park, Kyeong Hyeon cwoh@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Oh, Jong-Keon Oh, JK 5 Korea Univ, Guro Hosp, Sch Med, Dept Orthopaed Surg, Seoul 10408, South Korea cwoh@knu.ac.kr;
Induced membrane technique with plate fixation has a lower complication rate than bone transport over a plate for segmental tibial defects larger than 5 cm Yoon, Yong-Cheol Yoon, YC 6 Gachon Univ, Coll Med, Trauma Ctr, Orthoped Trauma Div, Incheon 21565, South Korea HPD-8077-2023 Yong-Cheol, Yoon cwoh@knu.ac.kr;
Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism Ullah, Waseem Ullah, W 1 Sejong Univ, Seoul 143747, South Korea ABE-6599-2021 ULLAH, Waseem 0000-0001-5191-9023 ullah, Waseem sbaik@sejong.ac.kr;
Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism Khan, Samee Ullah Khan, SU 2 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea AAA-3302-2019 Khan, Samee 0000-0001-5640-4942 Khan, Dr. Samee ullah sbaik@sejong.ac.kr;
Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism Kim, Min Je Kim, MJ 3 Sejong Univ, Seoul 143747, South Korea 0009-0007-8839-5260 gim, minje sbaik@sejong.ac.kr;
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