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 …
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 …
Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study …
Since ionospheric variability changes dramatically before the major earthquakes (EQ), the
detection of ionospheric anomalies for EQ forecasting has been a hot topic for modern-day …
detection of ionospheric anomalies for EQ forecasting has been a hot topic for modern-day …
A Multi-Network based Hybrid LSTM model for ionospheric anomaly detection: A case study of the Mw 7.8 Nepal earthquake
Abstract We propose a Multi-Network-based Hybrid Long Short Term Memory (N-LSTM)
model for ionospheric anomaly detection to forecast highly irregular data of the ionospheric …
model for ionospheric anomaly detection to forecast highly irregular data of the ionospheric …
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 …
[HTML][HTML] Seismo ionospheric anomalies around and over the epicenters of Pakistan earthquakes
Global Navigation Satellite System (GNSS)-based ionospheric anomalies are nowadays
used to identify a possible earthquake (EQ) precursor and hence a new research topic in …
used to identify a possible earthquake (EQ) precursor and hence a new research topic in …
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 …
Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity
Several efforts have been made to understand the complex physical processes involved in a
seismic process, but the findings are vague considering prediction capabilities …
seismic process, but the findings are vague considering prediction capabilities …
Detection precursor of sumatra earthquake based on ionospheric total electron content anomalies using N-Model Articial Neural Network
Indonesia is a country located between the Indo-Australian, Euresian and the Pacific plate.
Based on these facts, earthquakes are frequent in Indonesia, especially in Sumatra …
Based on these facts, earthquakes are frequent in Indonesia, especially in Sumatra …
[HTML][HTML] A Method for Detecting Ionospheric TEC Anomalies before Earthquake: The Case Study of Ms 7.8 Earthquake, February 06, 2023, Türkiye
J Feng, Y Xiao, J Chen, S Sun, F Ke - Remote Sensing, 2023 - mdpi.com
The ionospheric anomalies before an earthquake may be related to earthquake preparation.
The study of the ionospheric anomalies before an earthquake provides potential value for …
The study of the ionospheric anomalies before an earthquake provides potential value for …