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      A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China

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          A review of statistically-based landslide susceptibility models

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            Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

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              A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

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                Author and article information

                Journal
                Arabian Journal of Geosciences
                Arab J Geosci
                Springer Science and Business Media LLC
                1866-7511
                1866-7538
                March 2021
                March 06 2021
                March 2021
                : 14
                : 6
                Article
                10.1007/s12517-021-06630-5
                bdb59646-0457-40c0-85e4-d9f78e93c297
                © 2021

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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