文章名稱引用次數(shù)

• Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)55
• Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine21
• Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses18
• Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide15
• A particle-based optimization of artificial neural network for earthquake-induced landslide assessment in Ludian county, China15
• Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping15
• Satellite-based assessment of the August 2018 flood in parts of Kerala, India14
• Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods14
• Climatic, geomorphic and anthropogenic drivers of the 2014 extreme flooding in the Jhelum basin of Kashmir, India13
• Identification of erosion-prone areas using different multi-criteria decision-making techniques and GIS12