Moving Towards Smart Visualization for Smart City Services: A Systematic Literature Review in Earthquake Engineering
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60313-6_15
Reference43 articles.
1. Adulyanukosol, N. (2019, October). Earthquake damage report interactive dashboard using Bayesian structural time series and value-suppressing uncertainty palettes. In 2019 IEEE conference on visual analytics science and technology (VAST) (pp. 106–107). IEEE.
2. Ahmadi, G., Tavakkoli-Moghaddam, R., Baboli, A., & Najafi, M. (2022). A decision support model for robust allocation and routing of search and rescue resources after earthquake: A case study. Operational Research, 1–43.
3. Alphonsa, A., & Ravi, G. (2016, March). Earthquake early warning system by IOT using wireless sensor networks. In 2016 International conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1201–1205). IEEE.
4. Asencio-Cortés, G., Morales-Esteban, A., Shang, X., & Martínez-Álvarez, F. (2018). Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. Computers and Geosciences, 115, 198–210.
5. Asim, K. M., Idris, A., Iqbal, T., & Martínez-Álvarez, F. (2018). Earthquake prediction model using support vector regressor and hybrid neural networks. PLoS ONE, 13(7), e0199004.
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