Forecasting Ionospheric Total Electron Content During Geomagnetic Storms
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9250744/9250745/09250978.pdf?arnumber=9250978
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Total electron content forecasting with neural networks during intense geomagnetic storms of the solar maximum and moderate years of solar cycle 24 in the low latitude Indian region;Astrophysics and Space Science;2023-09
2. Performance of the local ionospheric model in resolving GPS baseline ambiguity over the Malaysian region;GPS Solutions;2023-01-23
3. Storm-Time Relative Total Electron Content Modelling Using Machine Learning Techniques;Remote Sensing;2022-12-05
4. Prediction of Range Error and Correction in Single Frequency Navigational Receivers Based on GPS Satellite Data During Solar Flare Days;2022 International Conference on Digital Transformation and Intelligence (ICDI);2022-12-01
5. Disturbance Storm Time Index Prediction using Long Short-Term Memory Machine Learning;2021 4th International Conference of Computer and Informatics Engineering (IC2IE);2021-09-14
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