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Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (November 2025)
Genre:	Naturwissensch., Medizin, Technik
	Environmental science, engineering and technology / Geology & The Lithosphere / Geology, geomorphology and the lithosphere / Natural disasters / NATURE / Natural Disasters / SCIENCE / Earth Sciences / Geology / Science / Environmental Science / Social impact of disasters / Social impact of disasters / accidents (natural or man-made) / SOCIAL SCIENCE / Disasters & Disaster Relief / The environment
ISBN:	9780443236631
EAN-Code:	9780443236631
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

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.