Работы, цитирующие эту работу

Работ: 3

Работа: Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

1. Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan

   Mukhiddin Juliev, Martin Mergili, Ismail Mondal +3

   СтатьяLandslides and related hazardsThe Science of The Total Environment2018Цитирований: 11

   ABIABI:AkademIndex/openalex/2018.article.000006

2. Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

   Zhuo Chen, Danqing Song, Mukhiddin Juliev +1

   СтатьяLandslides and related hazardsEnvironmental Earth Sciences2021Цитирований: 6

   ABIABI:AkademIndex/openalex/2021.article.000088

3. Comprehensive landslide susceptibility map of Central Asia

   Ascanio Rosi, William Frodella, Nicola Nocentini +6

   СтатьяLandslides and related hazardsNatural hazards and earth system sciences2023Цитирований: 2

   ABIABI:AkademIndex/openalex/2023.article.000421