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 …
Channel mixer layer: Multimodal fusion toward machine reasoning for spatiotemporal predictive learning of ionospheric total electron content
P Liu, T Yokoyama, T Sori, M Yamamoto - Space Weather, 2024 - Wiley Online Library
The spatiotemporal distribution of Total Electron Content (TEC) in ionosphere determines
the refractive index of electromagnetic wave leading to the radio signal scintillation and …
the refractive index of electromagnetic wave leading to the radio signal scintillation and …
Exploiting the synergy of SARIMA and XGBoost for spatiotemporal earthquake time series forecasting
Earthquakes are vibrations that occur on the surface of earth, generating fires, ground
shaking, tsunamis, landslides and cracks. These incidents can cause severe damage and …
shaking, tsunamis, landslides and cracks. These incidents can cause severe damage and …
Prediction of GNSS-Based Regional Ionospheric TEC Using a Multichannel ConvLSTM With Attention Mechanism
C Xu, M Ding, J Tang - IEEE Geoscience and Remote Sensing …, 2024 - ieeexplore.ieee.org
Monitoring and predicting ionospheric space weather is important for global navigation
satellite system (GNSS) navigation, positioning, and communication. Ionospheric total …
satellite system (GNSS) navigation, positioning, and communication. Ionospheric total …