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2022 연구성과별 연구자 정보 (722 / 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
Development of data-driven models for estimating the probability of high-concentration occurrence of naturally occurring radioactive materials in groundwater Choung, Sungwook Choung, S 2 교신저자 Korea Basic Sci Inst, Res Ctr Geochronol & Isotope Anal, Choengju, South Korea schoung@kbsi.re.kr;hyd009@korea.kr;
Development of data-driven models for estimating the probability of high-concentration occurrence of naturally occurring radioactive materials in groundwater Jeong, Do Hwan Jeong, D 3 Natl Inst Environm Res, Incheon, South Korea schoung@kbsi.re.kr;hyd009@korea.kr;
Development of data-driven models for estimating the probability of high-concentration occurrence of naturally occurring radioactive materials in groundwater Kim, Moon Su Kim, MS 4 교신저자 Natl Inst Environm Res, Incheon, South Korea 0000-0003-0054-8482 Kim, MoonSu schoung@kbsi.re.kr;hyd009@korea.kr;
Development of data-driven models for estimating the probability of high-concentration occurrence of naturally occurring radioactive materials in groundwater Kim, Hyun Gu Kim, HG 5 Natl Inst Environm Res, Incheon, South Korea schoung@kbsi.re.kr;hyd009@korea.kr;
Development of data-driven models for estimating the probability of high-concentration occurrence of naturally occurring radioactive materials in groundwater Kim, Jeongwoo Kim, J 6 Geogreen21 Co Ltd, Seoul, South Korea schoung@kbsi.re.kr;hyd009@korea.kr;
Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data Park, Kidoo Park, K 1 Kyungpook Natl Univ, Emergency Management Inst, Sangju 37224, South Korea hydrol88@knu.ac.kr;y.jung@knu.ac.kr;bnmjkl31@knu.ac.kr;niy1219@knu.ac.kr;
Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data Jung, Younghun Jung, Y 2 교신저자 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea hydrol88@knu.ac.kr;y.jung@knu.ac.kr;bnmjkl31@knu.ac.kr;niy1219@knu.ac.kr;
Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data Seong, Yeongjeong Seong, Y 3 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea 0000-0001-8229-111X Seong, Yeonjeong hydrol88@knu.ac.kr;y.jung@knu.ac.kr;bnmjkl31@knu.ac.kr;niy1219@knu.ac.kr;
Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data Lee, Sanghyup Lee, S 4 Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea hydrol88@knu.ac.kr;y.jung@knu.ac.kr;bnmjkl31@knu.ac.kr;niy1219@knu.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Kim, Yeon-Soo Kim, YS 1 Korea Inst Ind Technol KITECH, Smart Agr Machinery R&D Grp, Gimje 54325, South Korea babina@cnu.ac.kr;tysim@sejong.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Lee, Sang-Dae Lee, SD 2 Korea Inst Ind Technol KITECH, Smart Agr Machinery R&D Grp, Gimje 54325, South Korea ABF-6191-2020 Lee, Sang-Woong babina@cnu.ac.kr;tysim@sejong.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Baek, Seung-Min Baek, SM 3 Chungnam Natl Univ, Dept Smart Agr Syst, Daejeon 34134, South Korea babina@cnu.ac.kr;tysim@sejong.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Baek, Seung-Yun Baek, SY 4 Chungnam Natl Univ, Dept Smart Agr Syst, Daejeon 34134, South Korea babina@cnu.ac.kr;tysim@sejong.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Jeon, Hyeon-Ho Jeon, HH 5 Chungnam Natl Univ, Dept Smart Agr Syst, Daejeon 34134, South Korea babina@cnu.ac.kr;tysim@sejong.ac.kr;
Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth Lee, Jun-Ho Lee, JH 6 Chungnam Natl Univ, Dept Smart Agr Syst, Daejeon 34134, South Korea KII-0245-2024 Lee, JunHo babina@cnu.ac.kr;tysim@sejong.ac.kr;
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