Machine Learning in Geohazard Risk Prediction and Assessment : From Microscale Analysis to Regional Mapping
Book Details
Format
Paperback / Softback
ISBN-10
0443236631
ISBN-13
9780443236631
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 3rd, 2025
Print length
376 Pages
Weight
450 grams
Ksh 25,550.00
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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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