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

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 them with a precise time range is difficult. Some phenomena may be indicators of physical conditions favorable for large earthquakes (e.g...

Full description

Bibliographic Details
Main Authors: Hakan Uyanık, Erman Şentürk, Muhammed Halil Akpınar, Salih T. A. Ozcelik, Mehmet Kokum, Mohamed Freeshah, Abdulkadir Sengur
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
TEC
space weather indices
multi-input CNN
earthquake precursor prediction
GNSS
Online Access:https://www.mdpi.com/2072-4292/15/24/5690

Similar Items

Similar Items