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Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

Duc-Dam Nguyen1, Nguyen Viet Tiep2,*, Quynh-Anh Thi Bui1, Hiep Van Le1, Indra Prakash3, Romulus Costache4,5,6,7, Manish Pandey8,9, Binh Thai Pham1

1 Faculty of Civil Engineering, University of Transport Technology, Thanh Xuan, Ha Noi, 100000, Vietnam
2 Faculty of Hydraulic Engineering, Hanoi University of Civil Engineering, Ha Noi, 100000, Vietnam
3 DDG (R) Geological Survey of India, Gandhinagar, 382010, India
4 Research Institute of the University of Bucharest, Bucharest, 050663, Romania
5 National Institute of Hydrology and Water Management, Bucharest, 013686, Romania
6 Department of Civil Engineering, Transilvania University of Brasov, Brasov, 500152, Romania
7 Danube Delta National Institute for Research and Development, Tulcea, 820112, Romania
8 Marwadi University Research Center (MURC), Marwadi University, Rajkot, Gujarat, Bharat, 360003, India
9 Department of Civil Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot, Gujarat, Bharat, 360003, India

* Corresponding Author: Nguyen Viet Tiep. Email: email

TSP_CMES_56576.pdf

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