A new Python toolbox integrates deep learning models, gap-filling, and evaluation metrics for geodetic time series forecasting, with KAN-augmented models reported to improve long-term accuracy.
MIDAS robust trend estimator for accurate GPS station velocities without step detection,
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GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python
A new Python toolbox integrates deep learning models, gap-filling, and evaluation metrics for geodetic time series forecasting, with KAN-augmented models reported to improve long-term accuracy.