Neural Network Method Pinpoints Landslide Loads on Buried Pipelines
A physics-informed neural network framework reconstructs landslide-induced loads on buried pipelines from sparse monitoring data with errors below 0.2% in ...
A physics-informed neural network framework reconstructs landslide-induced loads on buried pipelines from sparse monitoring data with errors below 0.2% in ...
A geological-feature enhanced Cascade Mask R-CNN suppresses spectral confusion and class imbalance to recognize landslides in high-resolution satellite imagery, cutting ...
A machine learning framework combining multi-temporal lidar and satellite data mapped post-fire debris flows across seven Oregon watersheds, with multi-temporal ...
A new study maps landslide susceptibility and risk across the Indian Himalayan Region, finding about 8% of the area under ...
Researchers have built a fully correlated Monte Carlo framework that links earthquake shaking, tsunami, liquefaction, lateral spreading and landslides into ...
Nine years of Sentinel-2 monitoring across 85 landslide scars in southern Brazil show that recovery follows a nonlinear trajectory shaped ...
A systematic review of 80 publications reveals significant gaps in integrating climate projections with comprehensive road landslide risk assessments, highlighting ...
A new study in Brazil shows that using effective half-life rainfall indices significantly improves the accuracy of landslide early warning ...
A São Sebastião monitoring study found that particle pollution fell during intense rain and rebounded after the February 2023 landslides, ...
A team of Ethiopian researchers tested four machine learning models against 770 mapped landslides in the Main Ethiopian Rift, finding ...
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© 2025 Scienmag - Science Magazine