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2024 연구성과별 연구자 정보 (1704 / 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
Predicting the Future Focus of Orthognathic Surgery: Outcome-Driven Planning and Treatment With Function, Esthetics, and Occlusion as Key Indicators Reyneke, Johan P. Reyneke, JP 6 Univ Western Cape, Fac Hlth Sci, Ctr Orthognath Surg,Mediclin, Dept Oral & Maxillofacial Surg, Cape Town, South Africa mmiloro@uic.edu;
Predicting the Future Focus of Orthognathic Surgery: Outcome-Driven Planning and Treatment With Function, Esthetics, and Occlusion as Key Indicators Caminiti, Marco Caminiti, M 7 Univ Toronto, Oral & Maxillofacial Surg, Toronto, ON, Canada KCJ-6939-2024 Caminiti, Marco 0000-0001-5883-7880 Caminiti, Marco mmiloro@uic.edu;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Lee, Sang Heon Lee, SH 1 Korea Inst Ind Technol, Cheonan 31056, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Kim, Min Young Kim, MY 2 Korea Inst Ind Technol, Cheonan 31056, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Kim, Min Young Kim, MY 2 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Woo, Min Woo Woo, MW 3 Korea Univ Technol & Educ, Sch Mechatron Engn, Cheonan 31253, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Lee, Han Chang Lee, HC 4 Korea Inst Ind Technol, Cheonan 31056, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Won, Hong-In Won, HI 5 교신저자 Korea Inst Ind Technol, Cheonan 31056, South Korea 0000-0003-1609-8447 Won, Hong-In jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss Jeong, Seung Hyun Jeong, SH 6 교신저자 Korea Univ Technol & Educ, Sch Mechatron Engn, Cheonan 31253, South Korea jteks6@gmail.com;minykim@knu.ac.kr;wmw@kitech.re.kr;hanchang0517@kitech.re.kr;luvhayym@kitech.re.kr;sh.jeong@koreatech.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Alam, Maqusud Alam, M 1 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea 0009-0007-5950-7542 Alam, Maqusud brkim@knu.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Kim, Bubryur Kim, B 2 교신저자 Kyungpook Natl Univ, Sch Space Engn Sci, Daegu 41566, South Korea brkim@knu.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Natarajan, Yuvaraj Natarajan, Y 3 Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, India GWV-2080-2022 raj, yuva brkim@knu.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Preethaa, K. R. Sri Preethaa, KRS 4 Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, India brkim@knu.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Song, Sujeen Song, SJ 5 Earth Turbine, 36 Dongdeok Ro 40 Gil, Daegu 41905, South Korea brkim@knu.ac.kr;
Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach Chen, Zengshun Chen, ZS 6 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China brkim@knu.ac.kr;
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