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Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
| Lieferstatus: |
 Vorankündigung |
| Veröffentlichung: |
ANGEKÜNDIGT (Januar 2025)
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| Genre: |
Naturwissensch., Medizin, Technik |
| ISBN: |
9780443236631 |
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EAN-Code:
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9780443236631 |
| Verlag: |
Elsevier Health Sciences |
| Einband: |
Kartoniert |
| Sprache: |
English
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| Seiten: |
325 |
| Bewertung: |
Keine Bewertung vor Veröffentlichung möglich.
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| Inhalt: |
| 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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