Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS

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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS

In mountainous and hilly areas such as Malaysia, rockfalls phenomena is a significant and ongoing threat to people and their properties in addition to infrastructure and transportation lines located within steep terrain. This is because such incidence can cause serious injuries and fatalities as...

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Bibliographic Details
Main Author:	Fanos, Ali Mutar
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Landslide hazard analysis - Risk management - Malaysia Rockslides - Remote sensing - Malaysia Geographic information system
Online Access:	http://psasir.upm.edu.my/id/eprint/84166/ http://psasir.upm.edu.my/id/eprint/84166/1/FK%202019%20122%20-%20ir.pdf

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