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2025 연구성과별 연구자 정보 (223 / 1187)

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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
DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery (vol 63, 5623416, 2025) Yun, Sangseok Yun, S 2 교신저자 Pukyong Natl Univ, Dept Informat & Commun Engn, Busan 48513, South Korea furkatsultonov@knu.ac.kr; ssyun@pknu.ac.kr; jmkang@knu.ac.kr;
DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery (vol 63, 5623416, 2025) Kang, Jae-Mo Kang, JM 3 교신저자 Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea furkatsultonov@knu.ac.kr; ssyun@pknu.ac.kr; jmkang@knu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Choi, Jun Young Choi, JY 1 Seoul Natl Univ, Dept Mech Engn, Seoul, South Korea AAY-2174-2021 Lee, Caroine Sunyong ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Kim, Geun Young Kim, GY 2 Seoul Natl Univ, Dept Mech Engn, Seoul, South Korea ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Kim, Do Hoi Kim, D 3 Hyundai Motor Grp, Automot CTO Div, Hwaseong, Gyeonggi Do, South Korea ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Yoon, Narae Yoon, N 4 Kyungpook Natl Univ, Inst Adv Convergence Technol, Daegu, South Korea ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Han, Amy Kyungwon Han, AK 5 Seoul Natl Univ, Dept Mech Engn, Seoul, South Korea GVS-8443-2022 Han, Amy ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Han, Amy Kyungwon Han, AK 5 Seoul Natl Univ, Inst Adv Machines & Design, Seoul, South Korea GVS-8443-2022 Han, Amy ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Ahn, Sung-Hoon Ahn, SH 6 교신저자 Seoul Natl Univ, Dept Mech Engn, Seoul, South Korea ahnsh@snu.ac.kr;
Data-driven analysis of bonding strength in laser-structured metal-GFRP hybrid joints via groove morphology Ahn, Sung-Hoon Ahn, SH 6 교신저자 Seoul Natl Univ, Inst Adv Machines & Design, Seoul, South Korea ahnsh@snu.ac.kr;
Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data Lee, Uicheon Lee, U 1 Gyeongsang Natl Univ, Dept AI Convergence Engn, Jinju 52828, South Korea 2024211026@gnu.ac.kr; saleese@gnu.ac.kr; kyong.kim@knu.ac.kr;
Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data Lee, Seonah Lee, S 2 교신저자 Gyeongsang Natl Univ, Dept AI Convergence Engn, Jinju 52828, South Korea 2024211026@gnu.ac.kr; saleese@gnu.ac.kr; kyong.kim@knu.ac.kr;
Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data Lee, Seonah Lee, S 2 교신저자 Gyeongsang Natl Univ, Dept Software Engn, Jinju 52828, South Korea 2024211026@gnu.ac.kr; saleese@gnu.ac.kr; kyong.kim@knu.ac.kr;
Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data Kim, Kyonghoon Kim, K 3 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea 2024211026@gnu.ac.kr; saleese@gnu.ac.kr; kyong.kim@knu.ac.kr;
DC Partial Discharge Characteristics of MI Cable Model with Butt-Gap Structure Won, Yonguk Won, Y 1 Taihan Cable & Solut Co, Mat Res Team, Seoul, South Korea ehddyd1103@naver.com; baeyj0504@naver.com; jjjj322@naver.com; jtkim@daejin.ac.kr;
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