Landslide susceptibility in a hilly region of Romania using artificial intelligence and bivariate statistics
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Elsevier
Reference15 articles.
1. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping;Althuwaynee;Catena,2014
2. Landslide susceptibility mapping with deep learning algorithms;Habumugisha;Sustainability,2022
3. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS;Bui;Comput. Geosci.,2012
4. A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping;Lv;Int. J. Appl. Earth Obs. Geoinf.,2022
5. Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study;Felicísimo;Landslides,2013
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