A Feature Extraction Method for Daily-periodic Time Series Based on AETA Electromagnetic Disturbance Data-Reference-Cited by-同舟云学术

A Feature Extraction Method for Daily-periodic Time Series Based on AETA Electromagnetic Disturbance Data

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence - ICMAI 2019
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Author:

Li Bohang¹,Zhang Xing²,Wang Xin'an¹,Yong Shanshan¹,Zhang Jiyan¹,Huang Jipan¹

Affiliation:

1. Earthquake Monitoring and Prediction Technology Research Center, Peking University Shenzhen Graduate School, Shenzhen, China

2. Earthquake Monitoring and Prediction Technology Research Center, Peking University Shenzhen Graduate School, Shenzhen, China and School of Electronics Engineering and Computer Science, Peking University, Beijing, China

Publisher

ACM Press

Reference27 articles.

1. İnan, S., Pabuçcu, Z., Kulak, F., Ergintav, S., Tatar, O., & Altunel, E., et al. (2012). Microplate boundaries as obstacles to pre-earthquake strain transfer in western turkey: inferences from continuous geochemical monitoring. Journal of Asian Earth Sciences, 48(6), 56--71.

2. Shimozuru, D., & Kagiyama, T. (1989). Some Significant Features of Pre-Eruption Volcanic Earthquakes. Volcanic Hazards.

3. Kuo, C. L., Huba, J. D., Joyce, G., & Lee, L. C. (2011). Ionosphere plasma bubbles and density variations induced by pre-earthquake rock currents and associated surface charges. Journal of Geophysical Research Space Physics, 116(A10), -.

4. Li, H., Yi, T., Ming, G., & Huo, L. (2009). Evaluation of earthquake-induced structural damages by wavelet transform. Progress in Natural Science Materials International, 19(4), 461--470.

5. Karamzadeh, N., Doloei, G. J., & Reza, A. M. (2013). Automatic earthquake signal onset picking based on the continuous wavelet transform. IEEE Transactions on Geoscience & Remote Sensing, 51(5), 2666--2674.

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