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

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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Detalhes bibliográficos
Publicado no:Int J Environ Res Public Health
Main Authors: Nhu, Viet-Ha, Shirzadi, Ataollah, Shahabi, Himan, Singh, Sushant K., Al-Ansari, Nadhir, Clague, John J., Jaafari, Abolfazl, Chen, Wei, Miraki, Shaghayegh, Dou, Jie, Luu, Chinh, Górski, Krzysztof, Thai Pham, Binh, Nguyen, Huu Duy, Ahmad, Baharin Bin
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7215797/
https://ncbi.nlm.nih.gov/pubmed/32316191
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph17082749
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