Machine Learning in Geohazard Risk Prediction and Assessment

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61QwXMwuakL._SX342_SY445_PQ35_.jpg

Machine Learning in Geohazard Risk Prediction and Assessment

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Machine Learning in Geohazard Risk Prediction and Assessment, 1e

Biswajeet Pradhan, Daichao Sheng, Xuzhen He
Elsevier
376 pages
ISBN: 9780443236631
July 2025

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology.
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