2022 연구성과별 연구자 정보 (36 / 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
A GMOS/IFU Study of Jellyfish Galaxies in Massive Clusters ⓘ Mun, Jae Yeon ⓘ Mun, JY ⓘ 3 Australian Natl Univ, Res Sch Astron & Astrophys, Canberra, ACT 2611, Australia ⓘ ⓘ ⓘ 0000-0002-3706-9955 ⓘ Mun, Jae Yeon ⓘ joungh93@snu.ac.kr;mglee@astro.snu.ac.kr; ⓘ
A GMOS/IFU Study of Jellyfish Galaxies in Massive Clusters ⓘ Cho, Brian S. ⓘ Cho, BS ⓘ 4 Seoul Natl Univ, SNUARC, Dept Phys & Astron, Astron Program, 1 Gwanak Ro, Seoul 08826, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ joungh93@snu.ac.kr;mglee@astro.snu.ac.kr; ⓘ
A GMOS/IFU Study of Jellyfish Galaxies in Massive Clusters ⓘ Kang, Jisu ⓘ Kang, J ⓘ 5 Seoul Natl Univ, SNUARC, Dept Phys & Astron, Astron Program, 1 Gwanak Ro, Seoul 08826, South Korea ⓘ ⓘ ⓘ 0000-0003-3734-1995 ⓘ Kang, Jisu ⓘ joungh93@snu.ac.kr;mglee@astro.snu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Yoo, Jinkyung ⓘ Yoo, J ⓘ 1 Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Sun, Zequn ⓘ Sun, ZQ ⓘ 2 Northwestern Univ, Dept Prevent Med Biostat, Evanston, IL USA ⓘ ⓘ ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Greenacre, Michael ⓘ Greenacre, M ⓘ 3 Univ Pompeu Fabra, Dept Econ & Business, Barcelona, Spain ⓘ ⓘ ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Greenacre, Michael ⓘ Greenacre, M ⓘ 3 Barcelona Sch Management, Barcelona, Spain ⓘ ⓘ ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Ma, Qin ⓘ Ma, Q ⓘ 4 Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA ⓘ AAI-3810-2021 ⓘ Ma, Qin ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Chung, Dongjun ⓘ Chung, DJ ⓘ 5 교신저자 Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA ⓘ AAI-6032-2020 ⓘ Chung, Dongjun ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A guideline for the statistical analysis of compositional data in immunology ⓘ Kim, Young Min ⓘ Kim, YM ⓘ 6 교신저자 Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ chung.911@osu.edu;kymmyself@knu.ac.kr; ⓘ
A High Gain OTA With Positive Feedback for Ultra-Low Power Applications ⓘ Park, Sung Sik ⓘ Park, SS ⓘ 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ 0000-0001-7730-4051 ⓘ Park, Sung Sik ⓘ sdyu@knu.ac.kr; ⓘ
A High Gain OTA With Positive Feedback for Ultra-Low Power Applications ⓘ Yu, Sang Dae ⓘ Yu, SD ⓘ 2 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ sdyu@knu.ac.kr; ⓘ
A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting ⓘ Saeed, Faisal ⓘ Saeed, F ⓘ 1 Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ bscsfaisa1821@gmail.com;paul.editor@gmail.com;charles@knu.ac.kr; ⓘ
A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting ⓘ Paul, Anand ⓘ Paul, A ⓘ 2 Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 41566, South Korea ⓘ V-6724-2017 ⓘ Paul, Anand ⓘ 0000-0002-0737-2021 ⓘ Paul, Anand ⓘ bscsfaisa1821@gmail.com;paul.editor@gmail.com;charles@knu.ac.kr; ⓘ
A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting ⓘ Seo, Hyuncheol ⓘ Seo, H ⓘ 3 교신저자 Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea ⓘ ABC-5117-2020 ⓘ Seo, Hyuncheol ⓘ 0000-0002-3361-2316 ⓘ Seo, HyunCheol ⓘ bscsfaisa1821@gmail.com;paul.editor@gmail.com;charles@knu.ac.kr; ⓘ
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