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2022 연구성과별 연구자 정보 (198 / 2879)

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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
An MMC-based cryogenic calorimeter with a massive sodium molybdate crystal absorber for neutrinoless double beta decay searches Shlegel, V. N. Shlegel, VN 15 Nikolaev Inst Inorgan Chem, Novosibirsk 630090, Russia sckim@ibs.re.kr;
An MMC-based cryogenic calorimeter with a massive sodium molybdate crystal absorber for neutrinoless double beta decay searches Seo, J. W. Seo, JW 16 Inst Basic Sci IBS, Ctr Underground Phys, Daejeon 34126, South Korea 0000-0001-8016-9233 seo, Jeewon sckim@ibs.re.kr;
An MMC-based cryogenic calorimeter with a massive sodium molybdate crystal absorber for neutrinoless double beta decay searches Seo, J. W. Seo, JW 16 Univ Sci & Technol UST, IBS Sch, Daejeon 34113, South Korea 0000-0001-8016-9233 seo, Jeewon sckim@ibs.re.kr;
An MMC-based cryogenic calorimeter with a massive sodium molybdate crystal absorber for neutrinoless double beta decay searches So, J. H. So, JH 17 Inst Basic Sci IBS, Ctr Underground Phys, Daejeon 34126, South Korea sckim@ibs.re.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Uyeh, Daniel Dooyum Uyeh, DD 1 Kyungpook Natl Univ, Dept Bioind Machinery Engn, Daegu 41566, South Korea 0000-0003-1790-210X daniel dooyum, uyeh yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Uyeh, Daniel Dooyum Uyeh, DD 1 Kyungpook Natl Univ, Upland Field Machinery Res Ctr, Daegu 41566, South Korea 0000-0003-1790-210X daniel dooyum, uyeh yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Uyeh, Daniel Dooyum Uyeh, DD 1 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea 0000-0003-1790-210X daniel dooyum, uyeh yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Akinsoji, Adisa Akinsoji, A 2 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Akinsoji, Adisa Akinsoji, A 2 Univ Ibadan, Dept Agr Engn, Ibadan, Oyo State, Nigeria yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Asem-Hiablie, Senorpe Asem-Hiablie, S 3 Penn State Univ, Inst Energy, University Pk, PA 16802 USA yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Asem-Hiablie, Senorpe Asem-Hiablie, S 3 Penn State Univ, Inst Environm, University Pk, PA 16802 USA yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Bassey, Blessing Itoro Bassey, BI 4 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Bassey, Blessing Itoro Bassey, BI 4 African Inst Math Sci, African Masters Machine Intelligence, Kigali, Rwanda yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Osinuga, Abraham Osinuga, A 5 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea 0000-0002-2587-8704 Osinuga, Abraham yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture Osinuga, Abraham Osinuga, A 5 Univ Nebraska, Dept Chem Engn, Lincoln, NE 68588 USA 0000-0002-2587-8704 Osinuga, Abraham yushin72@knu.ac.kr;tusan.park@knu.ac.kr;
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