Machine Learning Modeling for Spatial-Temporal Prediction of Geohazard
Geohazards, such as landslides, rock avalanches, debris flow, ground fissures, and ground subsidence, pose a significant threat to people's lives and property. Recently, machine learning (ML) has become the predominant approach in geohazard modeling, offering advantages such as an excellent gen...
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Diğer Yazarlar: | , |
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Materyal Türü: | Elektronik Kitap Bölümü |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Konular: | |
Online Erişim: | DOAB: download the publication DOAB: description of the publication |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
Yer Numarası: |
A1234.567 |
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Kopya Bilgisi 1 | Kütüphanede |