Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
W Chen, HR Pourghasemi, A Kornejady, N Zhang - Geoderma, 2017 - Elsevier
Abstract “Spatial contraindication” is what exactly landslide susceptibility models have been
seeking. They are designed for depicting perilous land activities, be it natural or …
seeking. They are designed for depicting perilous land activities, be it natural or …
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support …
W Chen, HR Pourghasemi, M Panahi, A Kornejady… - Geomorphology, 2017 - Elsevier
The spatial prediction of landslide susceptibility is an important prerequisite for the analysis
of landslide hazards and risks in any area. This research uses three data mining techniques …
of landslide hazards and risks in any area. This research uses three data mining techniques …
Landslide susceptibility modeling based on gis and novel bagging-based kernel logistic regression
Landslides cause a considerable amount of damage around the world every year. Landslide
susceptibility assessments are useful for the mitigation of the associated potential risks to …
susceptibility assessments are useful for the mitigation of the associated potential risks to …
Landslide susceptibility evaluation using hybrid integration of evidential belief function and machine learning techniques
Y Li, W Chen - Water, 2019 - mdpi.com
In this study, Random SubSpace-based classification and regression tree (RSCART) was
introduced for landslide susceptibility modeling, and CART model and logistic regression …
introduced for landslide susceptibility modeling, and CART model and logistic regression …
Mapping of landslide susceptibility using the combination of neuro-fuzzy inference system (ANFIS), ant colony (ANFIS-ACOR), and differential evolution (ANFIS-DE) …
In this research, landslide susceptibility map of the Fahliyan sub-basin was provided
employing adaptive neuro-fuzzy inference system (ANFIS) in ensemble with the ant colony …
employing adaptive neuro-fuzzy inference system (ANFIS) in ensemble with the ant colony …
Landslide susceptibility assessment by dempster–shafer and index of entropy models, Sarkhoun basin, southwestern Iran
Landslides are natural disasters often activated by interaction of different controlling
environmental factors, especially in mountainous terrains. In this research, the landslide …
environmental factors, especially in mountainous terrains. In this research, the landslide …
Entropy-based hybrid integration of random forest and support vector machine for landslide susceptibility analysis
Landslide susceptibility mapping is a crucial step in comprehensive landslide risk
management. The purpose of the present study is to analyze the landslide susceptibility of …
management. The purpose of the present study is to analyze the landslide susceptibility of …
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning
A Pyakurel, D KC, BK Dahal - Scientific reports, 2024 - nature.com
Landslides are devastating natural disasters that generally occur on fragile slopes.
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Landslide hazard zoning using frequency ratio, entropy methods and TOPSIS decision-making methods (Case study: Fahliyan basin, Fars)
SV RAZAVI TERMEH, K Shirani - Journal of RS and GIS for …, 2019 - girs.bushehr.iau.ir
Distinguishing the susceptible areas to landslide using appropriate experimental models of
landslide susceptibility mapping is one of the primitive and basic works to reduce probable …
landslide susceptibility mapping is one of the primitive and basic works to reduce probable …