SEVUCAS: A novel GIS-based machine learning software for seismic vulnerability assessment

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 (Author), Panahi, Mahdi (Author), Pourghasemi, Hamid Reza (Author), Shahabi, Himan (Author), Alizadeh, Mohsen (Author), Shirzadi, Ataollah (Author), Khosravi, Khabat (Author), Melesse, Assefa M. (Author), Yekrangnia, Mohamad (Author), Rezaie, Fatemeh (Author), Moeini, Hamidreza (Author), Pham, Binh Thai (Author), Ahmad, Baharin (Author)
Format: Article
Language:English
Published: MDPI AG, 2019-09.
Subjects:
G70.212-70.215 Geographic information system
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