Abstract: This paper conducts an in-depth analysis of the impact of various factors on outcomes using time series data, focusing on trend shifts in event sequences. First, the data are preprocessed, ...

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...

Abstract: Accurate and efficient multivariate time series (MTS) forecasting is essential for applications such as traffic management and weather prediction, which depend on capturing long-range ...

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