The current research presents a detailed landslide susceptibility mapping study by binary logistic regression … during the present study. Subsequently, landslide susceptibility maps were produced using binary logistic regression (BLR … the modeling process, was considered to validate the landslide susceptibility maps using the receiver operating …

Landslide susceptibility maps are vital for disaster management and for planning development activities in the … mountainous country like Nepal. In the present study, landslide susceptibility assessment of Mugling–Narayanghat road and its … susceptibility models, while the remaining 80 (25 %) were used for validating the models. The effectiveness of landslide …

paper establishes karst collapse susceptibility evaluation model by means of fuzzy mathematic method, in which the … Quantitative theory method was firstly applied in determination of the factor weights. The karst collapse susceptibility evaluation … model with 14 evaluation indicators can be effectively used for quantitative evaluation on the karst collapse susceptibility …

, flow, and fracture) are selected to construct landslide susceptibility (LS) empirical models by back-propagation artificial …

conditions. For this purpose, we developed a theoretical framework to evaluate the “disruptive susceptibility” of value networks …. Using the construct of disruptive susceptibility, we assess the potential market entry of new companies as sources of … propositions for disruptive susceptibility on a past disruptive innovation for consistency. Based on the insights of the case study …

reviews. Individual characteristics – confidence in the information process and consumer susceptibility to interpersonal …