{
"item_title" : "Machine Learning in Geohazard Risk Prediction and Assessment",
"item_author" : [" Biswajeet Pradhan", "Daichao Sheng", "Xuzhen He "],
"item_description" : "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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Machine Learning in Geohazard Risk Prediction and Assessment : From Microscale Analysis to Regional Mapping
Overview
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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Details
- ISBN-13: 9780443236631
- ISBN-10: 0443236631
- Publisher: Elsevier
- Publish Date: July 2025
- Dimensions: 9.2 x 7.5 x 0.8 inches
- Shipping Weight: 1.7 pounds
- Page Count: 376
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