Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning

Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning

The low-altitude satellite DEMETER recorded many cases of ionospheric perturbations observed on occasion of large seismic events. In this paper, we explore 16 spot-checking classification algorithms, among which, the top classifier with low-frequency power spectra of electric and magnetic fields was...

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Bibliographic Details
Main Authors: Xiong, Pan, Long, Cheng, Zhou, Huiyu, Battiston, Roberto, Zhang, Xuemin, Shen, Xuhui
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Earthquake
Seismic Precursors
Online Access:https://hdl.handle.net/10356/145959
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/145959

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