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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
Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm Hong, Taehoon Hong, T 4 Yonsei Univ, Dept Architecture & Architectural Engn, Seoul 03722, South Korea hspark@yonsei.ac.kr;
Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm Lee, Dong-Eun Lee, DE 5 Kyungpook Natl Univ, Sch Architecture Civil Engn Environm & Energy, Daegu, South Korea hspark@yonsei.ac.kr;
Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm Park, Hyo Seon Park, HS 6 교신저자 Yonsei Univ, Dept Architecture & Architectural Engn, Seoul 03722, South Korea 0000-0002-0215-0497 Park, Hyo Seon hspark@yonsei.ac.kr;
Estimation of physico-chemical properties of soil using machine learning Mba, Patience Chizoba Mba, PC 1 Michigan State Univ, Dept Biosyst & Agr Engn, E Lansing, MI 48824 USA 0009-0009-5145-7194 Mba, Patience Chizoba tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Busoye, Opegbemi Matthias Busoye, OM 2 Michigan State Univ, Dept Biosyst & Agr Engn, E Lansing, MI 48824 USA tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Ajayi, John Temitope Ajayi, JT 3 Michigan State Univ, Dept Biosyst & Agr Engn, E Lansing, MI 48824 USA 0009-0002-3439-7352 Ajayi, John Temitope tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Njoku, Judith Nkechinyere Njoku, JN 4 Kumoh Natl Inst Technol, Gumi 39177, South Korea AAW-2805-2021 NJOKU, JUDITH 0000-0002-2294-9204 NJOKU, JUDITH tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Nwakanma, Cosmas Ifeanyi Nwakanma, CI 5 Kumoh Natl Inst Technol, Gumi 39177, South Korea AFK-4903-2022 Nwakanma, Cosmas Ifeanyi 0000-0003-3614-2687 Nwakanma, Cosmas Ifeanyi tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Asem-Hiablie, Senorpe Asem-Hiablie, S 6 Shell Int Explorat & Prod Inc, Shell Technol Ctr, Biotechnol Dept, Houston, TX 77082 USA tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Mallipeddi, Rammohan Mallipeddi, R 7 Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea AAL-5306-2020 Mallipeddi, Rammohan tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Mallipeddi, Rammohan Mallipeddi, R 7 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea AAL-5306-2020 Mallipeddi, Rammohan tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Park, Tusan Park, T 8 Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea C-2057-2012 Park, Tusan 0000-0003-3555-6714 Park, Tusan tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Park, Tusan Park, T 8 Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea C-2057-2012 Park, Tusan 0000-0003-3555-6714 Park, Tusan tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Park, Tusan Park, T 8 Kyungpook Natl Univ, Dept Smart Bioind Mech Engn, Daegu 41566, South Korea C-2057-2012 Park, Tusan 0000-0003-3555-6714 Park, Tusan tusan.park@knu.ac.kr;uyehdani@msu.edu;
Estimation of physico-chemical properties of soil using machine learning Uyeh, Daniel Dooyum Uyeh, DD 9 교신저자 Michigan State Univ, Dept Biosyst & Agr Engn, E Lansing, MI 48824 USA tusan.park@knu.ac.kr;uyehdani@msu.edu;
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