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BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day
Some of the important geodetic time series used in various Earth science disciplines are
provided without uncertainty estimates. This can affect the validity of conclusions based on …
provided without uncertainty estimates. This can affect the validity of conclusions based on …
[HTML][HTML] Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids
Increasing the accuracy and reliability of deep learning models is a crucial yet challenging
task. The Bayesian approach is typically inefficient in achieving this goal, because of its …
task. The Bayesian approach is typically inefficient in achieving this goal, because of its …
Prospects of predicting the polar motion based on the results of the second earth orientation parameters prediction comparison campaign
Abstract Growing interest in Earth Orientation Parameters (EOP) resulted in various
approaches to the EOP prediction algorithms, as well as in the exploitation of distinct input …
approaches to the EOP prediction algorithms, as well as in the exploitation of distinct input …