Machine Learning Techniques and hydrological Modeling for Flood Susceptibility and Inundation Mapping: Case study VGTB River Basin, Vietnam

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ADS bibcode
2022AGUFMGC15G0520S
year
2022
Listed Authors
Saber, Mohamed
Boulmaiz, Tayeb
Guermoui, Mawloud
Abdrabo, Karim I.
Kantosh, Sameh
Sumi, Tetsuya
Boutaghane, Hamouda
Binh, Doan Van
Nguyen, Binh Quang
Thi Phuong Thao, Bui
Vo, Ngoc Duong
Habib, Emad H.
Mabrouk, Emad
Listed Institutions
Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
Ghardaia University, Algeria, Algeria
Centre de Développement des Energies Renouvelables, Ghardaïa, Algeria
Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
Kyoto University, Kyoto, Japan
Badji Mokhtar-Annaba University, Annaba, Algeria
Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
The University of Danang-University of Science and Technology, Danang, Vietnam
Kyoto University, Kyoto, Japan
The University of Danang - University of Science and Technology, Danang, Vietnam
University of Louisiana at Lafayette, Lafayette, United States
Faculty of Science, Assiut University, Assiut, Egypt

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