Showing items 1 - 18 of 18

Your selections:

Optimization method of conditioning factors selection and combination for landslide susceptibility prediction

Developing a two-decadal time-record of rice field maps using Landsat-derived multi-index image collections with a random forest classifier: A Google Earth Engine based approach

Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory

Uncertainties of Landslide Susceptibility Prediction Modeling: Influence of Different Selection Methods of “Non-landslide Samples”

Uncertainties of landslide susceptibility prediction: Influences of different study area scales and mapping unit scales

A Random Forest-Based Multi-Index Classification (RaFMIC) Approach to Mapping Three-Decadal Inundation Dynamics in Dryland Wetlands Using Google Earth Engine

A Spatial Data-Driven Approach for Mineral Prospectivity Mapping

CBR of stabilized and reinforced residual soils using experimental, numerical, and machine-learning approaches

Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain

Characterising the seasonal nature of meteorological drought onset and termination across Australia

Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold

Effects of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction

Predicting building-related carbon emissions: a test of machine learning models

Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models

Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: Influences of different data-based models and connections between collapses and environmental factors

Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms

Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning

Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: a comparison of conventional and machine-learning methods

  • 1
  • Disclaimer
  • Privacy
  • Copyright
  • Contact
  • Deposit