Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone

Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone

Abstract Rainfall and its interaction with soil, rock, and environmental factors such as soil moisture content, temperature variations, groundwater levels, and vegetation cover are critical determinants of slope stability in geotechnical engineering. This study introduces an innovative AI-driven sys...

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Bibliographic Details
Main Authors: John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Geotechnical engineering
Slope stability
Machine learning
Linear regression
Ran- dom forest regression
Gradient boosting
Online Access:https://doi.org/10.1038/s41598-025-99026-4
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https://doi.org/10.1038/s41598-025-99026-4

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