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

By: Systems and Modelling; Faculty School of Information University of Technology Sydney Biswajeet (Edited by) , Daichao Sheng (Edited by) , Xuzhen He (Edited by)

Extended Catalogue

Ksh 33,750.00

Format: Paperback or 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

Publication Status: Active

Product extent: 376 Pages

Weight: 450.00 grams

Product Classification / Subject(s): Social impact of disasters
Geology & the lithosphere
Natural disasters
Environmental science, engineering & technology

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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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