연구성과로 돌아가기

2023 연구성과별 연구자 정보 (620 / 2675)

※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets Heo, Dong Hyuk Heo, DH 1 Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea sjkang@knu.ac.kr;
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets Park, Sung Ho Park, SH 2 Kyungpook Natl Univ, Ctr Selforganizing Software, Daegu, South Korea ABA-4566-2020 park, sungho 0000-0001-9356-7791 Park, Sung Ho sjkang@knu.ac.kr;
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets Kang, Soon Ju Kang, SJ 3 교신저자 Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea sjkang@knu.ac.kr;
Detection and Genotypic Analysis of Anaplasma bovis and A. phagocytophilum in Horse Blood and Lung Tissue Seo, Min-Goo Seo, MG 1 Kyungpook Natl Univ, Coll Vet Med, 80 Daehak ro, Daegu 41566, South Korea NQF-4335-2025 Seo, Min-Goo 0000-0003-1752-5105 Seo, Min-Goo dmkwak@knu.ac.kr;
Detection and Genotypic Analysis of Anaplasma bovis and A. phagocytophilum in Horse Blood and Lung Tissue Ouh, In-Ohk Ouh, IO 2 Korea Dis Control & Prevent Agcy, Natl Inst Hlth, 212 Osongsaengmyeong 2 ro, Cheongju 28160, Chungbuk, South Korea dmkwak@knu.ac.kr;
Detection and Genotypic Analysis of Anaplasma bovis and A. phagocytophilum in Horse Blood and Lung Tissue Kwak, Dongmi Kwak, D 3 교신저자 Kyungpook Natl Univ, Coll Vet Med, 80 Daehak ro, Daegu 41566, South Korea 0000-0003-0876-3179 Kwak, Dongmi dmkwak@knu.ac.kr;
Detection of COVID-19 epidemic outbreak using machine learning Cho, Giphil Cho, G 1 Kangwon Natl Univ, Dept Artificial Intelligence & Software, Samcheok Si, South Korea hjlee@knu.ac.kr;
Detection of COVID-19 epidemic outbreak using machine learning Park, Jeong Rye Park, JR 2 Kyungpook Natl Univ, Dept Math, Daegu, South Korea MDS-8129-2025 Park, Jeong Rye hjlee@knu.ac.kr;
Detection of COVID-19 epidemic outbreak using machine learning Choi, Yongin Choi, Y 3 Natl Inst Math Sci, Busan Ctr Med Math, Daejeon, South Korea GSD-3776-2022 Choi, Yongin hjlee@knu.ac.kr;
Detection of COVID-19 epidemic outbreak using machine learning Ahn, Hyeonjeong Ahn, H 4 Kyungpook Natl Univ, Dept Stat, Daegu, South Korea hjlee@knu.ac.kr;
Detection of COVID-19 epidemic outbreak using machine learning Lee, Hyojung Lee, H 5 교신저자 Kyungpook Natl Univ, Dept Stat, Daegu, South Korea hjlee@knu.ac.kr;
Detection of deformed wing virus in the greenhouse for possible horizontal transmission of virus in honey bee colony You, Euijin You, E 1 Kyungpook Natl Univ, Dept Ecol Sci, Sangju, South Korea yhkim05@knu.ac.kr;
Detection of deformed wing virus in the greenhouse for possible horizontal transmission of virus in honey bee colony Moon, Kyunghwan Moon, K 2 Kyungpook Natl Univ, Dept Vector Entomol, Sangju, South Korea yhkim05@knu.ac.kr;
Detection of deformed wing virus in the greenhouse for possible horizontal transmission of virus in honey bee colony Kim, Hyemin Kim, H 3 Kyungpook Natl Univ, Dept Ecol Sci, Sangju, South Korea yhkim05@knu.ac.kr;
Detection of deformed wing virus in the greenhouse for possible horizontal transmission of virus in honey bee colony Kim, Young Ho Kim, YH 4 교신저자 Kyungpook Natl Univ, Dept Ecol Sci, Sangju, South Korea J-5414-2012 Kim, Young 0000-0003-0003-6604 Kim, Young Ho yhkim05@knu.ac.kr;
페이지 이동: