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Machine Learning in Geohazard Risk Prediction and Assessment

From Microscale Analysis to Regional Mapping

  • 1st Edition - January 1, 2025
  • Editors: Biswajeet Pradhan, Daichao Sheng, Xuzhen He
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 2 3 6 6 3 - 1
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 2 3 6 6 4 - 8

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learni… Read more

Machine Learning in Geohazard Risk Prediction and Assessment

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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.