SEVUCAS: A novel GIS-based machine learning software for seismic vulnerability assessment
Since it is not possible to determine the exact time of a natural disaster's occurrence and the amount of physical and financial damage on humans or the environment resulting from their event, decision-makers need to identify areas with potential vulnerability in order to reduce future losses....
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/88635/1/BaharinAhmad2019_SEVUCASANovelGIS-BasedMachine.pdf http://eprints.utm.my/id/eprint/88635/ http://dx.doi.org/10.3390/app9173495 |
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