Precise ionospheric total electron content (TEC) is critical for many aerospace applications,
and forecasting ionospheric TEC is of great significance to it. Besides, short-term prediction …

Modeling ionospheric variability throughout a proper total electron content (TEC) parameter
estimation is a demanding, however, crucial, process for achieving better accuracy and …

Autonomous Vehicles have become the focus of research around the world. Meanwhile, the
continuous development of various emerging technologies in recent years has paved the …

In the Global Navigation Satellite System, ionospheric delay is a significant source of error.
The magnitude of the ionosphere total electron content (TEC) directly impacts the magnitude …

Total electron content (TEC) is a vital parameter for describing the state of the ionosphere,
and precise prediction of TEC is of great significance for improving the accuracy of the …

In this paper, we forecasted the ionospheric total electron content (TEC) over the region of
China using the bidirectional convolutional gated recurrent unit (BiConvGRU) model. We …

The integration of machine learning technology into ionospheric prediction has emerged as
a burgeoning field of research. However, several challenges still exist, such as the disregard …

Abstract Global Positioning System (GPS) services could be improved through prediction of
ionospheric delays for satellite-based radio signals. With respect to latitude, longitude, local …

A significant amount of research has been conducted in Southwest (SW) Japan on climate
modeling, disaster management, earthquake prediction, precise positioning, datum …