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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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Bibliographic Details
Main Authors: Lee, Saro, Panahi, Mahdi, Pourghasemi, Hamid Reza, Shahabi, Himan, Alizadeh, Mohsen, Shirzadi, Ataollah, Khosravi, Khabat, Melesse, Assefa M., Yekrangnia, Mohamad, Rezaie, Fatemeh, Moeini, Hamidreza, Pham, Binh Thai, Ahmad, Baharin
Format: Article
Language:English
Published: MDPI AG 2019
Subjects:
G70.212-70.215 Geographic information system
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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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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