Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms Article

Dieu, Tien Bui, Shahabi, Himan, Shirzadi, Ataollah et al. (2018). Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms . 18(8), 10.3390/s18082464

Open Access International Collaboration

cited authors

  • Dieu, Tien Bui; Shahabi, Himan; Shirzadi, Ataollah; Chapi, Kamran; Pradhan, Biswajeet; Chen, Wei; Khosravi, Khabat; Panahi, Mahdi; Bin Ahmad, Baharin; Saro, Lee

sustainable development goals

authors

publication date

  • August 1, 2018

webpage

keywords

  • ARTIFICIAL-INTELLIGENCE APPROACH
  • Chemistry
  • Chemistry, Analytical
  • DECISION TREE
  • Engineering
  • Engineering, Electrical & Electronic
  • GIS
  • Instruments & Instrumentation
  • LANDSLIDE HAZARD
  • LOGISTIC-REGRESSION
  • MODEL
  • NAIVE BAYES TREE
  • NEURAL-NETWORKS
  • Physical Sciences
  • RANDOM FOREST
  • SPATIAL PREDICTION
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • South Korea
  • Technology
  • land subsidence
  • machine learning algorithms

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 18

issue

  • 8