EZRVS: An AI-Based Web Application to Significantly Enhance Seismic Rapid Visual Screening of Buildings
Author:
Affiliation:
1. International Institute of Earthquake Engineering and Sesismology (IIEES), Tehran, Iran
2. Structural Engineering Research Center, International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran
Funder
No funding resources
Publisher
Informa UK Limited
Subject
Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/13632469.2023.2217944
Reference47 articles.
1. Large-scale seismic assessment of RC buildings through rapid visual screening
2. Ansal A. K. Ozayd in A. Edincliler A. Saglamer H. Sucuoglu and P. Ozdemir. 2003. Earthquake master plan for Istanbul. Turkey: Metropolital Municipality of Istanbul Planning and Construction Directorate Geotechnical and Earthquake Investigation Department.
3. Ayden O. R. Ulusay and M. Miyajima. 2003. The Bingol earthquake of May 1 2003. Japan society of civil engineers.
4. View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings
5. A machine learning framework to estimate a simple seismic vulnerability index from a photograph: the VULMA project
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