[HTML][HTML] 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) …
A storm-time ionospheric TEC model with multichannel features by the spatiotemporal ConvLSTM network
X Gao, Y Yao - Journal of Geodesy, 2023 - Springer
The total electron content (TEC) is an important parameter for characterizing the morphology
of the ionosphere. Modeling the ionospheric TEC accurately during the storm time could …
of the ionosphere. Modeling the ionospheric TEC accurately during the storm time could …
[HTML][HTML] 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 …
LSTM-based short-term ionospheric TEC forecast model and positioning accuracy analysis
T **e, Z Dai, X Zhu, B Chen, C Ran - GPS Solutions, 2023 - Springer
Ionospheric delay is one of the major error sources in global navigation satellite system
(GNSS). The ionospheric delay can be corrected by empirical models, which, however, are …
(GNSS). The ionospheric delay can be corrected by empirical models, which, however, are …
An investigation of ionospheric TEC prediction maps over China using bidirectional long short‐term memory method
The ionospheric total electron content (TEC) is an important ionospheric parameter, and it is
widely utilized in research such as space weather prediction and precise positioning …
widely utilized in research such as space weather prediction and precise positioning …
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 …
Enhancing SMEs digital transformation through machine learning: A framework for adaptive quality prediction
MC Chiu, YJ Huang, CJ Wei - Journal of Industrial Information Integration, 2024 - Elsevier
As smart manufacturing expands, businesses see the importance of digital transformation,
especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs …
especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs …
Research progress and prospect of monitoring ionosphere by GNSS technique
Y YAO, X GAO - Geomatics and Information Science of Wuhan …, 2022 - ch.whu.edu.cn
Ionosphere is an important part of the near-earth space environment, and it has an important
impact on radio communication, satellite navigation and positioning. Therefore, monitoring …
impact on radio communication, satellite navigation and positioning. Therefore, monitoring …
Machine learning based storm time modeling of ionospheric vertical total electron content over Ethiopia
Geomagnetic storms can cause variations in the ionization levels of the ionosphere, which is
commonly studied using the total electron content (TEC). TEC is a crucial parameter to …
commonly studied using the total electron content (TEC). TEC is a crucial parameter to …
Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity
M Saqib, E Şentürk, MA Adil, M Freeshah - Advances in Space Research, 2024 - Elsevier
Several efforts have been made to understand the complex physical processes involved in a
seismic process, but the findings are vague considering prediction capabilities …
seismic process, but the findings are vague considering prediction capabilities …