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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
Integrating green hydrogen production with renewable energy-powered desalination: An analysis of CAPEX implications and operational strategies ⓘ Park, Hyunwoong ⓘ Park, H ⓘ 4 Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ yyoo@swcc.gov.sa;dhan@qu.edu.qa; ⓘ
Integrating green hydrogen production with renewable energy-powered desalination: An analysis of CAPEX implications and operational strategies ⓘ Han, Dong Suk ⓘ Han, DS ⓘ 5 교신저자 Qatar Univ, Ctr Adv Mat, POB 2713, Doha, Qatar ⓘ AAX-9333-2021 ⓘ Han, Dong SuK ⓘ 0000-0002-4804-5369 ⓘ Han, Dong Suk ⓘ yyoo@swcc.gov.sa;dhan@qu.edu.qa; ⓘ
Integrating green hydrogen production with renewable energy-powered desalination: An analysis of CAPEX implications and operational strategies ⓘ Han, Dong Suk ⓘ Han, DS ⓘ 5 교신저자 Qatar Univ, Coll Engn, Dept Chem Engn, POB 2713, Doha, Qatar ⓘ AAX-9333-2021 ⓘ Han, Dong SuK ⓘ 0000-0002-4804-5369 ⓘ Han, Dong Suk ⓘ yyoo@swcc.gov.sa;dhan@qu.edu.qa; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Akinsoji, Adisa Hammed ⓘ Akinsoji, AH ⓘ 1 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Adelodun, Bashir ⓘ Adelodun, B ⓘ 2 교신저자 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ O-2941-2018 ⓘ Adelodun, Bashir ⓘ 0000-0002-1533-5319 ⓘ Adelodun, Bashir ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Adelodun, Bashir ⓘ Adelodun, B ⓘ 2 교신저자 Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240003, Nigeria ⓘ O-2941-2018 ⓘ Adelodun, Bashir ⓘ 0000-0002-1533-5319 ⓘ Adelodun, Bashir ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Adelodun, Bashir ⓘ Adelodun, B ⓘ 2 교신저자 Natl Univ Kyungpook, Inst Agr Sci & Technol, Daegu 41566, South Korea ⓘ O-2941-2018 ⓘ Adelodun, Bashir ⓘ 0000-0002-1533-5319 ⓘ Adelodun, Bashir ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Adeyi, Qudus ⓘ Adeyi, Q ⓘ 3 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ 0009-0006-1379-3443 ⓘ Adeyi, Qudus ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Salau, Rahmon Abiodun ⓘ Salau, RA ⓘ 4 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Odey, Golden ⓘ Odey, G ⓘ 5 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ MVV-6310-2025 ⓘ Odey, Golden ⓘ ⓘ ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Choi, Kyung Sook ⓘ Choi, KS ⓘ 6 교신저자 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ⓘ ⓘ ⓘ 0000-0003-3289-3176 ⓘ Choi, Kyung Sook ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review ⓘ Choi, Kyung Sook ⓘ Choi, KS ⓘ 6 교신저자 Natl Univ Kyungpook, Inst Agr Sci & Technol, Daegu 41566, South Korea ⓘ ⓘ ⓘ 0000-0003-3289-3176 ⓘ Choi, Kyung Sook ⓘ adisaakinsoji@knu.ac.kr;adelodun.b@unilorin.edu.ng;adeyi.qudus@knu.ac.kr;olanrewajusalau2790@gmail.com;goldenodey@knu.ac.kr;ks.choi@knu.ac.kr;adbash2008@gmail.com; ⓘ
Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications ⓘ Park, Hoonmin ⓘ Park, H ⓘ 1 Kyungpook Natl Univ, Dept Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ hminpark96@knu.ac.kr;als7333@knu.ac.kr;yy2785@knu.ac.kr;sim46@purdue.edu;lee4503@purdue.edu;htyun@kaist.ac.kr;mbgjun@purdue.edu;gyuman.kim@knu.ac.kr;yhjeong@knu.ac.kr;yihak@knu.ac.kr; ⓘ
Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications ⓘ Shin, Minchul ⓘ Shin, M ⓘ 2 Kyungpook Natl Univ, Dept Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ hminpark96@knu.ac.kr;als7333@knu.ac.kr;yy2785@knu.ac.kr;sim46@purdue.edu;lee4503@purdue.edu;htyun@kaist.ac.kr;mbgjun@purdue.edu;gyuman.kim@knu.ac.kr;yhjeong@knu.ac.kr;yihak@knu.ac.kr; ⓘ
Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications ⓘ Choi, Gyubok ⓘ Choi, G ⓘ 3 Kyungpook Natl Univ, Dept Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea ⓘ ⓘ ⓘ ⓘ ⓘ hminpark96@knu.ac.kr;als7333@knu.ac.kr;yy2785@knu.ac.kr;sim46@purdue.edu;lee4503@purdue.edu;htyun@kaist.ac.kr;mbgjun@purdue.edu;gyuman.kim@knu.ac.kr;yhjeong@knu.ac.kr;yihak@knu.ac.kr; ⓘ
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