Short-Time Forecast of Ionospheric Irregularities Using Long Short-Term Memory Networks Over Equatorial and Low-Latitudes Regions
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Publisher
Elsevier BV
Reference35 articles.
1. Assessing the performance of artificial neural networks to predict ionospheric TEC over Nigeria during different space weather events;O E Abe;Canadian Journal of Physics,2021
2. Signature of ionospheric irregularities under different geophysical conditions on SBAS performance in the western African low-latitude region;O E Abe;Ann. Geophys,2017
3. Performance evaluation of GNSS-TEC estimation techniques at the grid point in middle and low latitudes during different geomagnetic conditions;O E Abe;Journal of Geodesy,2017
4. Memristive LSTM network hardware architecture for time-series predictive modeling problems;K Adam;IEEE Asia Pacific Conference on Circuits and Systems (APCCAS),2018
5. Continual Deep Learning for Time Series Modeling;S.-I Ao;Sensors,2023
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