"Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region". [PDF]
Singh A, Dhiman N, Niraj KC, Shukla DP.
europepmc +1 more source
Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility. [PDF]
Ajin RS, Segoni S, Fanti R.
europepmc +1 more source
Fast hybrid methods for modeling landslide susceptibility in Ardal County. [PDF]
Xu S.
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Landslide susceptibility assessment using deep learning considering unbalanced samples distribution. [PDF]
Mwakapesa DS, Lan X, Mao Y.
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Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping. [PDF]
Gu T, Duan P, Wang M, Li J, Zhang Y.
europepmc +1 more source
Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi'an Region, China. [PDF]
Liu X, Shao S, Shao S.
europepmc +1 more source
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning. [PDF]
Pyakurel A, K C D, Dahal BK.
europepmc +1 more source
Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results. [PDF]
Yu X, Chen H.
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GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh. [PDF]
Chowdhury MS +5 more
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