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2024 연구성과별 연구자 정보 (837 / 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
Examining Modulations of Internal Tides within An Anticyclonic Eddy Using a Wavelet-Coherence Network Approach Park, Jong-Jin Park, JJ 2 교신저자 Kyungpook Natl Univ, Sch Earth Syst Sci, Daegu 41566, South Korea AAL-3484-2021 Park, Jongjin 0000-0002-5756-9498 Park, JongJin gclim@knu.ac.kr;jjpark@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Ashraf, Khadija Ashraf, K 1 Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, 2559 Gyeongsang Daero, Sangju Si 37224, Gyeongsangbuk D, South Korea 0009-0001-8143-1798 Ashraf, Khadija kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Park, Yoo Min Park, YM 2 Univ Connecticut, Dept Geog Sustainabil Community & Urban Studies, Storrs, CT USA 0000-0003-1860-4489 Park, Yoo Min kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Browning, Matthew H. E. M. Browning, MHEM 3 Clemson Univ, Dept Pk Recreat & Tourism Management, Clemson, SC USA D-2111-2014 Browning, Matthew 0000-0003-2296-7602 Browning, Matthew kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Wang, Jue Wang, J 4 Univ Toronto Mississauga, Dept Geog Geomat & Environm, Mississauga, ON, Canada kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Wang, Jue Wang, J 4 Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Wang, Ruoyu Wang, RY 5 Univ Essex, Inst Publ Hlth & Wellbeing, Colchester, England S-3360-2019 Wang, Ruoyu 0000-0002-7240-558X Wang, Ruoyu kasbiss@knu.ac.kr;
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques Lee, Kangjae Lee, K 6 교신저자 Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, 2559 Gyeongsang Daero, Sangju Si 37224, Gyeongsangbuk D, South Korea 0000-0002-2857-6496 Lee, Kangjae kasbiss@knu.ac.kr;
Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022 Im, So-Jin Im, SJ 1 Daegu City Hall, Dept Hlth & Med Policy, Daegu, South Korea lee_dh@knu.ac.kr;
Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022 Im, So-Jin Im, SJ 1 Kyungpook Natl Univ, Grad Sch, Dept Publ Hlth, Daegu, South Korea lee_dh@knu.ac.kr;
Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022 Shin, Ji-Yeon Shin, JY 2 Kyungpook Natl Univ, Sch Med, Dept Prevent Med, 680 Gukchaebosang Ro, Daegu 41944, South Korea lee_dh@knu.ac.kr;
Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022 Lee, Duk-Hee Lee, DH 3 교신저자 Kyungpook Natl Univ, Sch Med, Dept Prevent Med, 680 Gukchaebosang Ro, Daegu 41944, South Korea lee_dh@knu.ac.kr;
Exergy and exergoeconomic analysis of a hybrid airborne wind and solar energy system for power, liquid nitrogen and carbon dioxide production Nouri, Milad Nouri, M 1 Univ Ottawa, Civil Engn, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada AAV-8050-2021 Nouri, Milad mkavgic@uottawa.ca;
Exergy and exergoeconomic analysis of a hybrid airborne wind and solar energy system for power, liquid nitrogen and carbon dioxide production Kavgic, Miroslava Kavgic, M 2 교신저자 Univ Ottawa, Civil Engn, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada mkavgic@uottawa.ca;
Exergy and exergoeconomic analysis of a hybrid airborne wind and solar energy system for power, liquid nitrogen and carbon dioxide production Hinzer, Karin Hinzer, K 3 Univ Ottawa, Elect Engn, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada mkavgic@uottawa.ca;
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