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Condition: New. Introduces machine-learning techniques in the risk management of geo-hazards, particularly recent developmentsCovers a broader category of research and machine-learning techniques that can be applied, from microscopic modeling to constituti.
Language: English
Published by Elsevier - Health Sciences Division Jul 2025, 2025
ISBN 10: 0443236631 ISBN 13: 9780443236631
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Taschenbuch. Condition: Neu. Neuware - 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.
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443236631 ISBN 13: 9780443236631
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Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443236631 ISBN 13: 9780443236631
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Published by Elsevier Science Ltd, 2025
ISBN 10: 0443236631 ISBN 13: 9780443236631
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Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443236631 ISBN 13: 9780443236631
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.