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...
Saved in:
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: | |
Online Access: | https://hdl.handle.net/10356/145959 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Pre-earthquake ionospheric perturbation identification using CSES data via transfer learning
by: Xiong, Pan, et al.
Published: (2022) -
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) -
Ground strain estimation for lifeline earthquake engineering
by: Koike, Takeshi, et al.
Published: (2007) -
Blind fault branching and propagation beneath Central Myanmar Basin revealed by high-resolution aftershock location and focal mechanism of the 2019 Mw5.5 YeU earthquake sequence
by: Oo, Win Shwe Sin, et al.
Published: (2023)