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2023 연구성과별 연구자 정보 (168 / 2675)

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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
Aging Hardening and Precipitation Characteristics of Extruded Mg-9Al-0.8Zn-0.2Mn-0.3Ca-0.2Y Alloy Kim, Hyun Ji Kim, HJ 1 Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea MDS-5282-2025 Kim, Hyunjin sh.park@knu.ac.kr;
Aging Hardening and Precipitation Characteristics of Extruded Mg-9Al-0.8Zn-0.2Mn-0.3Ca-0.2Y Alloy Kim, Young Min Kim, YM 2 Korea Inst Mat Sci, Implementat Res Div, Chang Won 51508, South Korea HCH-5414-2022 Kim, Young Min sh.park@knu.ac.kr;
Aging Hardening and Precipitation Characteristics of Extruded Mg-9Al-0.8Zn-0.2Mn-0.3Ca-0.2Y Alloy Bae, Jun Ho Bae, JH 3 Korea Inst Mat Sci, Implementat Res Div, Chang Won 51508, South Korea sh.park@knu.ac.kr;
Aging Hardening and Precipitation Characteristics of Extruded Mg-9Al-0.8Zn-0.2Mn-0.3Ca-0.2Y Alloy Yoon, Jonghun Yoon, J 4 Hanyang Univ, Dept Mech Engn, Ansan 15588, South Korea sh.park@knu.ac.kr;
Aging Hardening and Precipitation Characteristics of Extruded Mg-9Al-0.8Zn-0.2Mn-0.3Ca-0.2Y Alloy Park, Sung Hyuk Park, SH 5 교신저자 Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea AAE-6726-2022 Park, Sung-Hyuk sh.park@knu.ac.kr;
Aging Mother-Adult Daughter Differentiation, Psychological Well-Being, and Parental Status Jeon, Sesong Jeon, S 1 교신저자 Kyungpook Natl Univ, Coll Human Ecol, Sch Child Studies, Child & Family Studies, Daegu 41566, South Korea 0000-0002-3772-3494 Jeon, Sesong ssjeon@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Obasekore, Hammed Obasekore, H 1 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea HTL-7429-2023 Obasekore, Hammed 0000-0002-1899-0925 OBASEKORE, Hammed kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Fanni, Mohamed Fanni, M 2 Mansoura Univ, Prod Engn & Mech Design Dept, Mansoura 35516, Egypt kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Fanni, Mohamed Fanni, M 2 Egypt Japan Univ Sci & Technol, Dept Mechatron & Robot Engn, Alexandria 21934, Egypt kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Ahmed, Sabah Mohamed Ahmed, SM 3 Egypt Japan Univ Sci & Technol, Dept Mechatron & Robot Engn, Alexandria 21934, Egypt kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Ahmed, Sabah Mohamed Ahmed, SM 3 Assiut Univ, Elect Engn Dept, Assiut 71515, Egypt kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Parque, Victor Parque, V 4 Egypt Japan Univ Sci & Technol, Dept Mechatron & Robot Engn, Alexandria 21934, Egypt K-7732-2018 Parque, Victor 0000-0001-7329-1468 Parque, Victor kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Parque, Victor Parque, V 4 Waseda Univ, Dept Modern Mech Engn, Tokyo 1698050, Japan K-7732-2018 Parque, Victor 0000-0001-7329-1468 Parque, Victor kby09@knu.ac.kr;
Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) Kang, Bo-Yeong Kang, BY 5 교신저자 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea IXW-6764-2023 Kang, Bo-Yeong 0000-0002-0546-7457 Kang, Bo-Yeong kby09@knu.ac.kr;
AI Model for Detection of Abdominal Hemorrhage Lesions in Abdominal CT Images Park, Young-Jin Park, YJ 1 Daegu Gyeongbuk Inst Sci & Technol DGIST, Div Elect & Informat Syst, Daegu 42988, South Korea kimmn@knu.ac.kr;mozart73@dgist.ac.kr;
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