吉欧卡托国际

高引用文章

• Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)引用次数：41
• Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea引用次数：41
• A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment引用次数：33
• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree引用次数：25
• GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea引用次数：23
• Mapping alteration mineral zones and lithological units in Antarctic regions using spectral bands of ASTER remote sensing data引用次数：23
• Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India引用次数：22
• Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models引用次数：22
• A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling引用次数：21
• A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment引用次数：19