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ephemeris-error

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Vishisht16 / PRESTO

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A novel deep transfer learning framework for forecasting NavIC satellite ephemeris and clock errors. PRESTO overcomes extreme data scarcity using a hybrid architecture (GNNs + Semiparametric Decomposition + Autoformers) and synthetic data augmentation to generate normally distributed prediction residuals.

open-source deep-learning transfer-learning gnss isro probabilistic-forecasting satellite-navigation pytorch-geometric gnn navic autoformer clock-bias ephemeris-error semiparametric-decomposition
  • Updated Jan 3, 2026
  • Jupyter Notebook

SatyaJaiss / PRESTO

Star 1

A novel deep transfer learning framework for forecasting NavIC satellite ephemeris and clock errors. PRESTO overcomes extreme data scarcity using a hybrid architecture (GNNs + Semiparametric Decomposition + Autoformers) and synthetic data augmentation to generate normally distributed prediction residuals.

open-source deep-learning transfer-learning gnss isro satellite-navigation pytorch-geometric gnn navic autoformer clock-bias ephemeris-error semiparametric-decomposition probabilisitic-forecasting
  • Updated Jan 3, 2026
  • Jupyter Notebook

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