Towards advancing the earthquake forecasting by machine learning of satellite data-Reference-Cited by-同舟云学术

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Towards advancing the earthquake forecasting by machine learning of satellite data

Published:2021-06 Issue: Volume:771 Page:145256
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Xiong Pan,Tong Lei,Zhang Kun,Shen Xuhui,Battiston Roberto,Ouzounov Dimitar,Iuppa Roberto,Crookes Danny,Long Cheng,Zhou Huiyu

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference70 articles.

1. Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure;Asencio-Cortés;Comput. Geosci.,2018

2. Earthquake prediction model using support vector regressor and hybrid neural networks;Asim;PLoS One,2018

3. Asim, K.M., Idris, A., Iqbal, T., & Martínez-Álvarez, F. (2018b). Seismic indicators based earthquake predictor system using genetic programming and AdaBoost classification. Soil Dyn. Earthq. Eng., 111, 1–7.

4. Machine learning for data-driven discovery in solid earth geoscience;Bergen;Science,2019

5. Blackett, M., Wooster, M.J., & Malamud, B.D. (2011a). Correction to “Exploring land surface temperature earthquake precursors: A focus on the Gujarat (India) earthquake of 2001”. Geophysical Research Letters, 38, n/a-n/a.

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