Validation-Constrained Adaptive Residual Fusion Framework for Low-Latitude TEC Prediction in GNSS Ionospheric Sensing
Mengjia Bai, Yuanfa Ji, Xiyan Sun, Wenbin Liang, Kamarul Hawari Bin Ghazali · 2026
Read Validation-Constrained Adaptive Residual Fusion Framework for Low-Latitude TEC Prediction in GNSS Ionospheric Sensing by Mengjia Bai, Yuanfa Ji, Xiyan Sun, Wenbin Liang, Kamarul Hawari Bin Ghazali (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13517602.txt.
Description
Accurate prediction of low-latitude total electron content, or TEC, is important for GNSS ionospheric sensing because pronounced diurnal variation and sensitivity to solar and geomagnetic activity make TEC highly nonlinear and nonstationary. This study proposes the RC-XGB-CNN-BiLSTM validation-constrained adaptive residual-fusion framework for one-hour-ahead TEC prediction.
Catalog record
| CREATOR | Mengjia Bai, Yuanfa Ji, Xiyan Sun, Wenbin Liang, Kamarul Hawari Bin Ghazali |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |