Importance of machine learning and deep learning algorithms in earthquake prediction: a review

G Gürsoy, A Varol, A Nasab - 2023 11th International …, 2023 - ieeexplore.ieee.org
Earthquakes are the leading natural disasters that have caused loss of life and property
since the formation of the world. Machine learning and deep learning are frequently used in …

Applying support vector machine (SVM) using GPS-TEC and Space Weather parameters to distinguish ionospheric disturbances possibly related to earthquakes

A Melgarejo-Morales, GE Vazquez-Becerra… - Advances in Space …, 2023 - Elsevier
The effort to identify and comprehend potential earthquake-related phenomena shares a
common goal: successful earthquake forecasting. Advancements in science and technology …

[HTML][HTML] A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content

H Uyanık, E Şentürk, MH Akpınar, STA Ozcelik… - Remote Sensing, 2023 - mdpi.com
Earthquakes occur all around the world, causing varying degrees of damage and
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …

[HTML][HTML] Ionospheric electron density model by electron density grid deep neural network (EDG-DNN)

Z Chen, B An, W Liao, Y Wang, R Tang, J Wang… - Atmosphere, 2023 - mdpi.com
Electron density (or electron concentration) is a critical metric for characterizing the
ionosphere's mobility. Shortwave technologies, remote sensing systems, and satellite …

[HTML][HTML] Investigation of the relationship between the decline in well waters radon anomalies and the earthquake magnitude (Mw)

A Sandıkcıoğlu Gümüş - Journal of Radioanalytical and Nuclear Chemistry, 2024 - Springer
Afyonkarahisar and its surroundings are in the middle of the Akşehir-Simav Fault System.
Before the earthquakes in the region, radon anomalies were observed in some well waters …

Comparing wavelet-based artificial neural network, multiple linear regression, and ARIMA models for detecting genuine radon anomalies associated with seismic …

HP Jaishi, S Singh, RP Tiwari, RC Tiwari - Proceedings of the Indian …, 2024 - Springer
This study presents a comprehensive analysis of continuous subsurface soil radon with the
environmental parameters and their correlation with seismic events in the Indo-Myanmar …

Elite GA-based Feature Selection of LSTM for Earthquake Prediction

Z Ye, W Lan, W Zhou, Q He, L Hong, X Xu, Y Gao - 2023 - researchsquare.com
Earthquake magnitude prediction is an extremely difficult task that has been studied by
various machine learning researchers. However, the redundant features and time series …

Investigating the Potential of Vertical-TEC as an Earthquake Precursor: Haiti Major (ML 7) Earthquake Case Study

MM Ghafar, S Dleer, S Mukhtar… - Passer Journal of …, 2024 - passer.garmian.edu.krd
This study explores whether vertical total electron content (VTEC or TEC) can serve as a
precursor to a major earthquake (magnitude 7) that occurred in Haiti on January 12, 2010 …

Prediction of Ionospheric TEC Using RNN During the Indonesia Earthquakes Based on GPS Data and Comparison with the IRI Model

R Mukesh, SC Dass, S Kiruthiga, S Mythili… - Congress on Intelligent …, 2023 - Springer
Total electron content (TEC) is a significant descriptive measure for the ionosphere of the
earth. Due to either the sun's activity like solar flare or the positive hall effect caused during …

Analyzing Temporal Variations in Radon Concentrations: Identifying Trends and Changes

M Ichedef, İ Sapmaz, C Taşköprü - 2024 - researchsquare.com
Radon is a well-known precursor for geodynamic events such as earthquakes and volcanic
tremors. Radon concentration variations in soil gas have been monitored worldwide, and …