A SEQUENCE-TO-SEQUENCE TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR IONOSPHERE PREDICTION USING GNSS OBSERVATIONS

5 citations as recorded by crossref.

1. Deep Recurrent Neural Networks for Ionospheric Variations Estimation Using GNSS Measurements M. Kaselimi et al. https://doi.org/10.1109/TGRS.2021.3090856
2. Real-Time Ionosphere Prediction Based on IGS Rapid Products Using Long Short-Term Memory Deep Learning J. Chen & Y. Gao https://doi.org/10.33012/navi.581
3. A Systematic Review of Machine Learning Techniques for GNSS Use Cases A. Siemuri et al. https://doi.org/10.1109/TAES.2022.3219366
4. Deep learning-based BDS-3 ephemeris and positioning performance prediction X. Hao et al. https://doi.org/10.1515/jag-2026-0030
5. Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia G. Alemu & Y. Ejigu https://doi.org/10.1016/j.asr.2024.03.062