The challenge of machine learning in space weather: Nowcasting and forecasting
E Camporeale - Space weather, 2019 - Wiley Online Library
The numerous recent breakthroughs in machine learning make imperative to carefully
ponder how the scientific community can benefit from a technology that, although not …
ponder how the scientific community can benefit from a technology that, although not …
Forecasting global ionospheric TEC using deep learning approach
Global ionospheric total electron content (TEC) maps are widely utilized in research
regarding ionospheric physics and the associated space weather impacts, so there is a …
regarding ionospheric physics and the associated space weather impacts, so there is a …
An ionospheric TEC forecasting model based on a CNN-LSTM-attention mechanism neural network
J Tang, Y Li, M Ding, H Liu, D Yang, X Wu - Remote Sensing, 2022 - mdpi.com
Ionospheric forecasts are critical for space-weather anomaly detection. Forecasting
ionospheric total electron content (TEC) from the global navigation satellite system (GNSS) …
ionospheric total electron content (TEC) from the global navigation satellite system (GNSS) …
Prediction of global ionospheric TEC based on deep learning
Z Chen, W Liao, H Li, J Wang, X Deng… - Space Weather, 2022 - Wiley Online Library
The accurate prediction of ionospheric Total Electron Content (TEC) is important for global
navigation satellite systems (GNSS), satellite communications and other space …
navigation satellite systems (GNSS), satellite communications and other space …
Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content
K Iluore, J Lu - Advances in Space Research, 2022 - Elsevier
This paper provides the application of deep learning models such as Long Short-Term
Memory (LSTM) and a recently proposed Gated Recurrent Unit (GRU) in forecasting the …
Memory (LSTM) and a recently proposed Gated Recurrent Unit (GRU) in forecasting the …
Neural network based model for global Total Electron Content forecasting
We introduce a novel empirical model to forecast, 24 h in advance, the Total Electron
Content (TEC) at global scale. The technique leverages on the Global Ionospheric Map …
Content (TEC) at global scale. The technique leverages on the Global Ionospheric Map …
A deep learning-based approach to forecast ionospheric delays for GPS signals
I Srivani, GSV Prasad… - IEEE Geoscience and …, 2019 - ieeexplore.ieee.org
This letter proposes the implementation of ionospheric forecasting model based on the long
short-term memory (LSTM) networks. Ionospheric region produces time delay for radio wave …
short-term memory (LSTM) networks. Ionospheric region produces time delay for radio wave …
[图书][B] Machine learning techniques for space weather
Machine Learning Techniques for Space Weather provides a thorough and accessible
presentation of machine learning techniques that can be employed by space weather …
presentation of machine learning techniques that can be employed by space weather …
An approach for predicting global ionospheric TEC using machine learning
J Tang, Y Li, D Yang, M Ding - Remote Sensing, 2022 - mdpi.com
Accurate corrections for ionospheric total electron content (TEC) and early warning
information are crucial for global navigation satellite system (GNSS) applications under the …
information are crucial for global navigation satellite system (GNSS) applications under the …
Ionospheric TEC forecasting over an Indian low latitude location using long short-term memory (LSTM) deep learning network
KD Reddybattula, LS Nelapudi, M Moses… - Universe, 2022 - mdpi.com
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 …
scientists and engineers' community as it significantly influences satellite-based navigation …