Knowledge Discovery of Global Landslides Using Automated Machine Learning Algorithms

Knowledge Discovery of Global Landslides Using Automated Machine Learning Algorithms

Understanding the complex dynamics of global landslides is essential for disaster planners to make timely and effective decisions that save lives and reduce the economic impacts on society. Using NASA’s inventory of global landslide data, we developed a new machine learning (ML)&#x201...

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Bibliographic Details
Main Authors: Fahim K. Sufi, Musleh Alsulami
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Strategic decision support tool for landslides
machine learning
anomaly detection
regression analysis
decomposition analysis
knowledge discovery
Online Access:https://ieeexplore.ieee.org/document/9546772/

Internet

https://ieeexplore.ieee.org/document/9546772/

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