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2021 연구성과별 연구자 정보 (87 / 2991)

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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
A review on lithium recovery using electrochemical capturing systems Shon, Ho Kyong Shon, HK 6 Univ Technol Sydney, Sch Civil & Environm Engn, Ctr Technol Water & Wastewater, Sydney, NSW 2007, Australia P-7057-2015 Shon, Ho Kyong 0000-0002-3777-7169 Shon, Ho Kyong dhan@qu.edu.qa;
A review on lithium recovery using electrochemical capturing systems Chen, Yuan Chen, Y 7 Univ Sydney, Sch Chem & Biomol Engn, Sydney, NSW 2006, Australia C-6637-2008 Chen, Yuan 0000-0001-9059-3839 Chen, Yuan dhan@qu.edu.qa;
A review on lithium recovery using electrochemical capturing systems Park, Hyunwoong Park, H 8 Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea A-1247-2012 Park, Hyunwoong dhan@qu.edu.qa;
A review on lithium recovery using electrochemical capturing systems Batchelor, Bill Batchelor, B 9 Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77840 USA dhan@qu.edu.qa;
A review on lithium recovery using electrochemical capturing systems Han, Dong Suk Han, DS 10 교신저자 Qatar Univ, Ctr Adv Mat, Doha, Qatar AAX-9333-2021 Han, Dong SuK dhan@qu.edu.qa;
A Risk Assessment for Ozone Regulation Based on Statistical Rollback Kim, Yongku Kim, Y 1 교신저자 Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea 0000-0002-3917-6279 Kim, Yongku kim.1252@knu.ac.kr;stecophil88@gmail.com;
A Risk Assessment for Ozone Regulation Based on Statistical Rollback Lee, Jeongjin Lee, J 2 Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA kim.1252@knu.ac.kr;stecophil88@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Saeed, Faisal Saeed, F 1 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea HNT-0710-2023 Saeed, Faisal 0000-0002-2822-1708 Saeed, Faisal paul.editor@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Ahmed, Muhammad Jamal Ahmed, MJ 2 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea LRC-8144-2024 Ahmed, Muhammad Jamal paul.editor@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Gul, Malik Junaid Gul, MJ 3 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea O-1392-2018 Gul, Malik junaid jami 0000-0002-2371-4829 Gul, Malik junaid jami paul.editor@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Hong, Kim Jeong Hong, KJ 4 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea paul.editor@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Paul, Anand Paul, A 5 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea V-6724-2017 Paul, Anand 0000-0002-0737-2021 Paul, Anand paul.editor@gmail.com;
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network Kavitha, Muthu Subash Kavitha, MS 6 Nagasaki Univ, Sch Informat & Data Sci, Nagasaki, Japan AAI-6438-2020 Kavitha, M.S. 0000-0002-1676-561X Kavitha, Muthu Subash paul.editor@gmail.com;
A robust scheme for unidirectional emission from a hybrid whispering gallery cavity system based on transformation optics Lim, Ji-Hun Lim, JH 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea mhchoi@ee.knu.ac.kr;
A robust scheme for unidirectional emission from a hybrid whispering gallery cavity system based on transformation optics Lee, Yong-Hoon Lee, YH 2 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 0000-0003-2111-4894 Lee, Yong-Hoon mhchoi@ee.knu.ac.kr;
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