Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. [PDF]
Wang Y +5 more
europepmc +1 more source
GeoFusion-3D: Multi-Scale Geomorphic Feature Fusion for Landslide Scar Detection Using UAV-Mounted LiDAR. [PDF]
Shrivastava A, Gupta S, Obradovic Z.
europepmc +1 more source
Expression of Concern: Susceptibility mapping and zoning of highway landslide disasters in China. [PDF]
PLOS One Editors.
europepmc +1 more source
Remote sensing-based landslide prediction and risk assessment using a hybrid CNN-LSTM deep learning model. [PDF]
Teng F, Ekraminia SS, Zarei A, Li Y.
europepmc +1 more source
Increasing landslide susceptibility and intensity under climate change for Aotearoa New Zealand. [PDF]
Dreyer L +4 more
europepmc +1 more source
Assessing future landslide susceptibility and risk escalations under changing LULC and climate conditions in the Western Ghats of Karnataka in India. [PDF]
Pramanik M, Hegde A.
europepmc +1 more source
Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province. [PDF]
Han M, Yang Y.
europepmc +1 more source
Knowledge-Guided Modulation for Terrain-Aware Landslide Detection Using Deformable Transformers. [PDF]
Jia YC +4 more
europepmc +1 more source
Prediction of landslide susceptibility through ANN models optimized by evolutionary algorithms. [PDF]
Cifci MA +5 more
europepmc +1 more source
National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach. [PDF]
Khan I +4 more
europepmc +1 more source

