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...
Main Authors: | Xiong, Pan, Long, Cheng, Zhou, Huiyu, Battiston, Roberto, Zhang, Xuemin, Shen, Xuhui |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145959 |
Similar Items
-
Enhanced stress and changes to regional seismicity due to the 2015 Mw 7.8 Gorkha, Nepal, earthquake on the neighbouring segments of the Main Himalayan Thrust
by: Chan, Chung-Han, et al.
Published: (2017) -
Slip deficit in central Nepal: omen for a repeat of the 1344 AD earthquake?
by: Bollinger, L., et al.
Published: (2016) -
An Investigation of the Reliability of the Taiwan Earthquake Model PSHA2015
by: Wang, Yu‐Ju, et al.
Published: (2017) -
Induced transtensional earthquakes after the 1999 Chi-Chi earthquake in the compressional collision belt of western Taiwan
by: Lee, Timothy Ting-Yu, et al.
Published: (2018) -
Seismic fragility curve for bridges in Malaysia subjected to near field earthquake /
by: Aqilah Ghazali, 1988- author 503437, et al.
Published: (2018)