Работы, цитирующие эту работу

Работ: 2

Работа: Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

1. Landslide Susceptibility Assessment Using Recurrent Neural Network (RNN)—A Case of Chabahar and Konarak in Iran

   Vahid Isazade, Abdul Baser Qasimi, Mahdi Safari Namivandi +2

   СтатьяLandslides and related hazardsIndian geotechnical journal2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001628

2. Non-linear influence of global temperature anomalies for development of landslides processes in Uzbekistan

   Bakhodirjon Tulyaganov, A’zam Kadirxodjaev, Alisher Xodjibaev

   СтатьяLandslides and related hazardsAIP conference proceedings2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.007080