Machine Learning in Geohazard Risk Prediction and Assessment
Language: English
Published by Elsevier - Health Sciences Division, US, 2025
- First Edition
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 203.11
Quantity: Over 20 available
Add to basketItem description from seller
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.
Seller Inventory # LU-9780443236631
- Title
- Machine Learning in Geohazard Risk Prediction and Assessment
- Author
- Biswajeet Pradhan
- Publisher
- Elsevier - Health Sciences Division, US
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0443236631
- ISBN 13
- 9780443236631
- Edition
- 1st.
- Item weight
- 790 grams
- Dimensions
- 19.1 x 2.26 x 23.5 cm
- Introduces machine-learning techniques in the risk management of geo-hazards, particularly recent developments
- Covers a broader category of research and machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping
- Contains contributions from top researchers around the world, including authors from the UK, USA, Australia, Austria, China, and India
"Synopsis" may belong to another edition of this title.
About the Author
Daichao Sheng is a distinguished professor and the head of School of Civil and Environmental Engineering. He has developed an internationally recognized profile in computational geomechanics including soft computing, unsaturated soils, geo-risk analysis and transport geotechnics. He has published 300+ peer-reviewed papers and two books, including 200+ papers in top geotechnical and computational mechanics journals. These publications now attract 1400+ citations per annum, with an H-Index of 48 in Scopus. His track record places him easily within the top handful of geomechanics professionals of his age worldwide. He has collaborated widely with Australian and international researchers in his field
Xuzhen He is a senior lecturer at UTS School of Civil and Environmental Engineering. He is an early career researcher and completed his undergraduate and PhD training at the world’s top universities (Tsinghua for his BSc and Cambridge for his PhD) and was awarded the John Winbolt Prize and the Raymond and Helen Kwok Scholarship from Cambridge University. He was awarded the Australian Research Council Discovery Early Career Researcher Award in 2021. His research interest lies mainly in computational geomechanics, and he has published 30+ high-quality journal papers in these areas.
"About the title" may belong to another edition of this title.
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London, United Kingdom
AbeBooks seller since June 11, 2025
Shipping rates from United Kingdom to U.S.A.
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