Machine Learning Predicts Urban Slope Failures Using Geotechnical Data in Brazil
A machine learning model integrating 13,522 municipal emergency calls with soil mechanics and rainfall data predicted urban slope instabilities across ...
A machine learning model integrating 13,522 municipal emergency calls with soil mechanics and rainfall data predicted urban slope instabilities across ...
Researchers built and tested a low-cost 3D-printed robotic arm that lifted a 0.8 kg payload successfully in all ten laboratory ...
A new FLAC3D modeling study shows that including the intermediate principal stress in an extended Hoek–Brown criterion sharply reduces predicted ...
A three-dimensional modeling study of a Chinese tungsten tailings dam found that grid-pattern waste rock inclusions reduced maximum pore-water pressure ...
A new review synthesizes bathymetric, sonar and seismic evidence that Holocene debris avalanche deposits surround Ischia, with the island's southern ...
A finite element study of a Himalayan residual soil slope finds that prolonged low-intensity rainfall cuts slope stability far more ...
A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a standard neural network and conventional ...
A finite element study of a Himalayan tunnel portal slope shows that models explicitly representing foliation joints predict far lower ...
A new geotechnical investigation shows that the non-plastic, highly permeable soils of Nepal's Mugling-Narayanghat highway lose 30 to 36 percent ...
A new hybrid extreme learning machine framework predicts seismic soil liquefaction with near-perfect accuracy while using explainable AI to reveal ...
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© 2026 Scienmag - Science Magazine