A Bidirectional Deep-Learning Algorithm to Forecast Regional Ionospheric TEC Maps

A Bidirectional Deep-Learning Algorithm to Forecast Regional Ionospheric TEC Maps

The rapid evolutions in artificial intelligence and the machine learning era have significantly improved accuracy for ionospheric space weather forecasting models. The ionospheric total electron content (TEC) forecasting is necessary to alert global navigation satellite system (GNSS) users about ion...

Full description

Bibliographic Details
Main Authors: Kondaveeti Sivakrishna, Devanaboyina Venkata Ratnam, Gampala Sivavaraprasad
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adjusted spherical harmonics function (ASHF)
artificial intelligence (AI)
bidirectional long short-term memory (bi-LSTM)
deep learning (DL)
forecast
global positioning system (GPS)
Online Access:https://ieeexplore.ieee.org/document/9789727/

Internet

https://ieeexplore.ieee.org/document/9789727/

Similar Items