The forecasting of ionospheric electron density has been of great interest to the research
scientists and engineers' community as it significantly influences satellite-based navigation …

In recent years, transformer has been widely used in natural language processing (NLP)
and computer vision (CV). Comparatively, forecasting image time sequences using …

In the last 40 years, remote sensing technology has evolved, significantly advancing ocean
observation and catapulting its data into the big data era. How to efficiently and accurately …

This work developed a modified U‐Net model (a convolutional network architecture) to
predict global Total Electron Content (TEC) maps. The input includes the current global TEC …

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 launch of a series of Starlink internet satellites on 3 February 2022 (S-36), and 7 July
2022 (S-49), coincided with the development of two-phase geomagnetic storms. The first …

Forecasting ionospheric total electron content (TEC) has been of great interest among
ionospheric researchers and radio propagation scientists as it critically affects the operation …

Accurate 1‐day global total electron content (TEC) forecasting is essential for ionospheric
monitoring and satellite communications. However, it faces challenges due to limited data …

The ionospheric vertical total electron content (VTEC) is an essential parameter for studying
the ionosphere's dynamic variations, and its short-term forecast is essential for some …

Accurate forecasting of ocean waves is of great importance to the safety of marine
transportation. Despite wave forecasts having been improved, the current level of prediction …