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

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.

• Format: Paperback
• Language: English
• ISBN: 0443236631
• ISBN13: 9780443236631
• Release Date: July 2025
• Publisher: Elsevier
• Length: 376 Pages
• Weight: 1.70 lbs.
• Dimensions: 0.8" x 7.5" x 9.2"