GNSS–VTEC prediction based on CNN–GRU neural network model during high solar activities
Abstract Total electron content (TEC), as a crucial ionospheric parameter, has impacts on electromagnetic wave propagation as well as satellite navigation and positioning, and is of great significance in space weather forecasting. Previous prediction efforts using neural network techniques have basi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93628-8 |
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