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 …
A cyclone formation, eastward plume drag, ion-hydration process, and the consequent ionospheric changes following the 2022 Hunga Tonga-Hunga Ha'apai volcanic …
In this paper, we investigate the possible mechanism behind the volcanic plume drag and
the massive expansion of the ionospheric Total Electron Content (TEC) along the eastern …
the massive expansion of the ionospheric Total Electron Content (TEC) along the eastern …
Investigating Multiple Ionospheric Disturbances Associated with the 2020 August 4 Beirut Explosion by Geodetic and Seismological Data
In this study, we investigated oscillatory disturbances in the atmosphere [from GNSS-derived
ionospheric slant total electron content (STEC)] and in the solid Earth (from triaxial seismic …
ionospheric slant total electron content (STEC)] and in the solid Earth (from triaxial seismic …
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 …