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Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping

Edited by Biswajeet Pradhan, Edited by Daichao Sheng, Edited by Xuzhen He

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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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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Elsevier - Health Sciences Division
Published date | 3 Jul 2025
Language |
Format | Paperback / softback
Pages | 376
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 790g
ISBN | 978-0-4432-3663-1
Readership Age |
BISAC | science / environmental science

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