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| 1°-Resolution Global Ionospheric | tec | Modeling Method Based on a Dual-Branch Input Convolutional Neural Network, A |
| Algorithm Research Using GNSS- | tec | Data to Calibrate TEC Calculated by the IRI-2016 Model over China |
| Algorithm Research Using GNSS- | tec | Data to Calibrate TEC Calculated by the IRI-2016 Model over China |
| Alpha | tec | Ltd. |
| Analysis of Ionospheric | tec | Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data, The |
| Analysis of Ionospheric | tec | Anomalies Using BDS High-Orbit Satellite Data: A Regional Statistical Study and a Case Study of the 2023 Jishishan Ms6.2 Earthquake |
| Approach for Predicting Global Ionospheric | tec | Using Machine Learning, An |
| Assessment of Dynamic Mode Decomposition (DMD) Model for Ionospheric | tec | Map Predictions |
| Assimilating GNSS | tec | with an LETKF over Yunnan, China |
| Bidirectional LSTM for ionospheric vertical Total Electron Content ( | tec | ) forecasting |
| CAiTST: Conv-Attentional Image Time Sequence Transformer for Ionospheric | tec | Maps Forecast |
| Case Study of Polar Cap Sporadic-E Layer Associated with | tec | Variations, A |
| Causal Long Short-Term Memory Sequence to Sequence Model for | tec | Prediction Using GNSS Observations, A |
| Climatology of | tec | Longitudinal Difference in Middle Latitudes of East Asia |
| Comment on 'Measurement of Ionospheric | tec | in Spaceborne SAR Data' |
| Comment on Choi et al. Correlation between Ionospheric | tec | and the DCB Stability of GNSS Receivers from 2014 to 2016. Remote Sens. 2019, 11, 2657 |
| Comparison of | tec | Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data |
| Constructing a Regional Ionospheric | tec | Model in China with Empirical Orthogonal Function and Dense GNSS Observation |
| Correlation between Ionospheric | tec | and the DCB Stability of GNSS Receivers from 2014 to 2016 |
| COSMIC-2-Based Global Mean | tec | Model and Its Application to Calibrating IRI-2020 Global Ionospheric Maps, A |
| Deep | tec | : Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery |
| Developing a Deep Learning-Based De | tec | tor of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake |
| EOF-Based Global Plasmaspheric Electron Content Model and Its Potential Role in Vertical-Slant | tec | Conversion, An |
| Evaluating Total Electron Content ( | tec | ) Detrending Techniques in Determining Ionospheric Disturbances during Lightning Events in A Low Latitude Region |
| Evaluation of Interpolation | tec | hniques for Reconstructing Ionospheric TEC Maps, An |
| Feature of Ionospheric Mid-Latitude Trough during Geomagnetic Storms Derived from GPS Total Electron Content ( | tec | ) Data, The |
| Forecast of the Global | tec | by Nearest Neighbour Technique |
| Forecasting Regional Ionospheric | tec | Maps over China Using BiConvGRU Deep Learning |
| Investigation of Pre-Seismic Ionospheric | tec | and Acoustic-Gravity Wave Coupling Phenomena Using BDS GEO Measurements: A Case Study of the 2023 Jishishan Ms6.2 Earthquake, An |
| Ionospheric Assimilation of GNSS | tec | into IRI Model Using a Local Ensemble Kalman Filter |
| Ionospheric Disturbances from the 2022 Hunga-Tonga Volcanic Eruption: Impacts on | tec | Spatial Gradients and GNSS Positioning Accuracy Across the Japan Region |
| Ionospheric | tec | and ROT Analysis with Signal Combinations of QZSS Satellites in the Korean Peninsula |
| Ionospheric | tec | Forecasting Model Based on a CNN-LSTM-Attention Mechanism Neural Network, An |
| Ionospheric | tec | Forecasting with ED-ConvLSTM-Res Integrating Multi-Channel Features |
| Ionospheric | tec | Prediction in China during Storm Periods Based on Deep Learning: Mixed CNN-BiLSTM Method |
| Kalman Filter, ANN-MLP, LSTM and ACO Methods Showing Anomalous GPS- | tec | Variations Concerning Turkey's Powerful Earthquake (6 February 2023) |
| Lateral Directional Axis Control of Aircraft Based on | tec | S |
| Lithosphere Ionosphere Coupling Associated with Seismic Swarm in the Balkan Peninsula from ROB- | tec | and GPS |
| Machine Learning-Based Estimation of foF2 and MUF(3000)F2 Using GNSS Ionospheric | tec | Observations |
| Machine Learning-Based Method for Modeling | tec | Regional Temporal-Spatial Map, A |
| Method for De | tec | ting Ionospheric TEC Anomalies before Earthquake: The Case Study of Ms 7.8 Earthquake, February 06, 2023, Turkiye, A |
| Model-Assisted Combined Machine Learning Method for Ionospheric | tec | Prediction, A |
| Modeling Australian | tec | Maps Using Long-Term Observations of Australian Regional GPS Network by Artificial Neural Network-Aided Spherical Cap Harmonic Analysis Approach |
| Monitoring Seismo- | tec | Perturbations Utilizing the Beidou Geostationary Satellites |
| Multi-Parameter Empirical Fusion Model for Ionospheric | tec | in China's Region, A |
| Neural Network-Based | tec | Model Capable of Reproducing Nighttime Winter Anomaly, A |
| New and Tested Ionospheric | tec | Prediction Method Based on SegED-ConvLSTM, A |
| New Mapping Function for Spaceborne | tec | Conversion Based on the Plasmaspheric Scale Height, A |
| New Method for Ionospheric Tomography and Its Assessment by Ionosonde Electron Density, GPS | tec | , and Single-Frequency PPP, A |
| Observational Analysis of Variation Characteristics of GPS-Based | tec | Fluctuation over China |
| Operational Forecasting of Global Ionospheric | tec | Maps 1-, 2-, and 3-Day in Advance by ConvLSTM Model |
| Performance Evaluation of V | tec | GIMs for Regional Applications during Different Solar Activity Periods, Using RING TEC Values |
| Plasmaspheric Electron Content Inferred from Residuals between GNSS-Derived and TOPEX/JASON Vertical | tec | Data |
| Regional Ionospheric | tec | Map Assimilation Method Considering Temporal Scale During Geomagnetic Storms, A |
| Seasonal and Interhemispheric Effects on the Diurnal Evolution of EIA: Assessed by IGS | tec | and IRI-2016 over Peruvian and Indian Sectors |
| Spatiotemporal Analysis of Regional Ionospheric | tec | Prediction Using Multi-Factor NeuralProphet Model under Disturbed Conditions |
| Spatiotemporal Network Model for Global Ionospheric | tec | Forecasting, A |
| Suspected Seismo-Ionospheric Anomalies before Three Major Earthquakes De | tec | ted by GIMs and GPS TEC of Permanent Stations |
| tec | Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021 |
| tec | Forecasting Based on Manifold Trajectories |
| Temporal and Spatial Analysis of the Impact of the 2015 St. Patrick's Day Geomagnetic Storm on Ionospheric | tec | Gradients and GNSS Positioning in China Using GIX and ROTI Indices |
| Total Electron Content, Total Electron Count, | tec | |
| Trailing Equatorial Plasma Bubble Occurrences at a Low-Latitude Location through Multi-GNSS Slant | tec | Depletions during the Strong Geomagnetic Storms in the Ascending Phase of the 25th Solar Cycle |
| Updated Experimental Model of IG12 Indices Over the Antarctic Region via the Assimilation of IRI2016 With GNSS | tec | , An |
| Using Support Vector Machine (SVM) with GPS Ionospheric | tec | Estimations to Potentially Predict Earthquake Events |
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