Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Nhu VH;Shirzadi A;Shahabi H;Singh SK;Al-Ansari N;Clague JJ;Jaafari A;Chen W;Miraki S;Dou J;Luu C;Górski K;Thai Pham B;Nguyen HD;Ahmad BB;;
International journal of environmental research and public health 2020 Vol. 17 pp. -
228
vh2020internationalshallow

Abstract

Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susceptibility maps that can be used by land-use manage …

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:32316191 pmc7215797 doi:10.3390/ijerph17082749 viet-ha nhu ataollah shirzadi baharin bin ahmad

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