Space weather describes varying conditions between the Sun and Earth that can degrade
Global Navigation Satellite Systems (GNSS) operations. Thus, these effects should be …

An increasing number of terrestrial‐and space‐based radio‐communication systems are
influenced by the ionospheric space weather, making the ionospheric state increasingly …

This paper provides the application of deep learning models such as Long Short-Term
Memory (LSTM) and a recently proposed Gated Recurrent Unit (GRU) in forecasting the …

The ionospheric total electron content (TEC) is an important ionospheric parameter, and it is
widely utilized in research such as space weather prediction and precise positioning …

Accurate corrections for ionospheric total electron content (TEC) and early warning
information are crucial for global navigation satellite system (GNSS) applications under the …

The variation of the ionospheric parameters has a crucial role in space weather,
communication, and navigation applications. In this research, we analyze the prediction …

Global navigation satellite systems (GNSS) provide a great data source about the
ionosphere state. These data can be used for testing ionosphere models. We studied the …

The rapid evolutions in artificial intelligence and the machine learning era have significantly
improved accuracy for ionospheric space weather forecasting models. The ionospheric total …

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 …

The widely used GNSS correction services for high precision positioning take advantage of
accurate real-time TEC forecasting based on vertical total electron content (VTEC) maps …