Machine Learning Techniques and hydrological Modeling for Flood Susceptibility and Inundation Mapping: Case study VGTB River Basin, Vietnam
Mohamed Saber1, Tayeb Boulmaiz2, Mawloud Guermoui3, Karim I Abdrabo1, Sameh Kantosh1, Tetsuya Sumi4, Hamouda Boutaghane5, Doan Van Binh1, Binh Quang Nguyen6, Bui Thi Phuong Thao4, Ngoc Duong Vo7, Emad H Habib8 and Emad Mabrouk9, (1)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, (2)Ghardaia University, Algeria, Algeria, (3)Centre de Développement des Energies Renouvelables, Ghardaïa, Algeria, (4)Kyoto University, Disaster Prevention Research Institute, Kyoto, Japan, (5)Badji Mokhtar-Annaba University, Annaba, Algeria, (6)The University of Danang-University of Science and Technology, Water Resources Engineering, Danang, Vietnam, (7)The University of Danang - University of Science and Technology, Danang, Vietnam, (8)University of Louisiana at Lafayette, Civil Engineering, Lafayette, United States, (9)Faculty of Science, Assiut University, Department of Mathematics, Assiut, Egypt
