Currently, most real-world time series datasets are multivariate and are rich in dynamical information of the underlying system. Such datasets are attracting much attention; therefore, the need for ...

In today’s digital era, technology is developing rapidly, and numerous intelligent fields have increasingly higher requirements for location accuracy. In outdoor environments, GNSS (Global Navigation ...

A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping ...