A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content
Earthquakes occur all around the world, causing varying degrees of damage and
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …
Deep Learning of Detecting Ionospheric Precursors Associated With M ≥ 6.0 Earthquakes in Taiwan
A short‐term (30 days before an earthquake) prediction of an earthquake is a big challenge
in seismology. As a first step, we apply deep learning to the ionospheric total electron …
in seismology. As a first step, we apply deep learning to the ionospheric total electron …
GNSS TEC-based earthquake ionospheric perturbation detection using a novel deep learning framework
In this article, a new method for seismic ionospheric Global Navigation Satellite System
(GNSS) total electron content (TEC) based anomaly detection using a deep learning …
(GNSS) total electron content (TEC) based anomaly detection using a deep learning …
LSTM-based deep learning methods for prediction of earthquakes using ionospheric data
The ionosphere may play an essential role in the atmosphere and earth. Solar flares due to
coronal mass ejection, seismic movements, and geomagnetic activity cause deviations in …
coronal mass ejection, seismic movements, and geomagnetic activity cause deviations in …
A proposed earthquake warning system based on ionospheric anomalies derived from GNSS measurements and artificial neural networks
D Brum, MR Veronez, EM de Souza… - IGARSS 2019-2019 …, 2019 - ieeexplore.ieee.org
The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS)
data processing has been used as a tool for monitoring earthquakes. The purpose of this …
data processing has been used as a tool for monitoring earthquakes. The purpose of this …
SafeNet: SwArm for earthquake perturbations identification using deep learning networks
Low Earth orbit satellites collect and study information on changes in the ionosphere, which
contributes to the identification of earthquake precursors. Swarm, the European Space …
contributes to the identification of earthquake precursors. Swarm, the European Space …
Using support vector machine (SVM) with GPS ionospheric TEC estimations to potentially predict earthquake events
There are significant controversies surrounding the detection of precursors that may precede
earthquakes. Natural hazard signatures associated with strong earthquakes can appear in …
earthquakes. Natural hazard signatures associated with strong earthquakes can appear in …
Deep machine learning based possible atmospheric and Ionospheric precursors of the 2021 Mw 7.1 Japan earthquake
MU Draz, M Shah, P Jamjareegulgarn, R Shahzad… - Remote Sensing, 2023 - mdpi.com
Global Navigation Satellite System (GNSS)-and Remote Sensing (RS)-based Earth
observations have a significant approach on the monitoring of natural disasters. Since the …
observations have a significant approach on the monitoring of natural disasters. Since the …
A machine learning-based detection of earthquake precursors using ionospheric data
Detection of precursors of strong earthquakes is a challenging research area. Recently, it
has been shown that strong earthquakes affect electron distribution in the regional …
has been shown that strong earthquakes affect electron distribution in the regional …
Pre-earthquake ionospheric perturbation analysis using deep learning techniques
It has been observed in many studies that ionosphere create a significant perturbation
before major earthquakes. Therefore, forecasting of earthquakes on the basis of the …
before major earthquakes. Therefore, forecasting of earthquakes on the basis of the …