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2024 연구성과별 연구자 정보 (786 / 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
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Park, Changwoo Park, C 2 Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Ham, Gayoung Ham, G 3 Kyungpook Natl Univ, Dept Energy Convergence & Climate Change, Daegu 41566, South Korea hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Kim, Young Yong Kim, YY 4 Pohang Univ Sci & Technol POSTECH, Pohang Accelerator Lab, Pohang 37673, Gyeongbuk, South Korea GRR-6656-2022 Kim, Young Yong 0000-0001-6102-9518 Kim, Young Yong hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Kwon, Sung-Nam Kwon, SN 5 Jeonbuk Natl Univ, Dept Flexible & Printable Elect, Jeonju Si 54896, Jeollabuk Do, South Korea ABH-2499-2021 Kwon, Sung-Nam hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Lee, Junyeong Lee, J 6 Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea 0000-0002-2291-8811 lee, junyeong hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Jo, Sungjin Jo, S 7 Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Na, Seok-In Na, SI 8 Jeonbuk Natl Univ, Dept Flexible & Printable Elect, Jeonju Si 54896, Jeollabuk Do, South Korea AAM-3036-2020 Na, Seok-In hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Cha, Hyojung Cha, H 9 교신저자 Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea 0000-0003-0184-9471 Cha, Hyojung hcha@knu.ac.kr;
Enhancement of vertical phase separation in sequentially deposited organic photovoltaics through the independent processing of additives Cha, Hyojung Cha, H 9 교신저자 Kyungpook Natl Univ, Dept Energy Convergence & Climate Change, Daegu 41566, South Korea 0000-0003-0184-9471 Cha, Hyojung hcha@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Natarajan, Yuvaraj Natarajan, Y 1 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, 80,Daehak Ro, Daegu 41566, South Korea GWV-2080-2022 Natarajan, Yuvaraj 0000-0002-0422-8374 Natarajan, Yuvaraj yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Natarajan, Yuvaraj Natarajan, Y 1 KPR Inst Engn & Technol, Ctr Res & Dev, Coimbatore 641407, India GWV-2080-2022 Natarajan, Yuvaraj 0000-0002-0422-8374 Natarajan, Yuvaraj yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Preethaa, K. R. Sri Preethaa, KRS 2 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, 80,Daehak Ro, Daegu 41566, South Korea 0000-0003-1355-710X K. R., Sri Preethaa yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Wadhwa, Gitanjali Wadhwa, G 3 ZIH Tech Univ Dresden TUD, Ctr Scalable Data Analyt & Artificial Intelligence, Budapester Str 34b, D-01062 Dresden, Germany yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Choi, Young Choi, Y 4 Earth Turbine, 36,Dongdeok Ro 40 Gil, Daegu 41905, South Korea yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction Chen, Zengshun Chen, ZS 5 Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China yuvaraj.n@kpriet.ac.in;k.r.sripreethaa@kpriet.ac.in;gitanjali.wadhwa@tu-dresden.de;youngch5@naver.com;zengshunchen@cqu.edu.cn;dolee@knu.ac.kr;2021320938@knu.ac.kr;
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