Abstract: Time series forecasting is crucial in various real-world dynamic systems, with machine learning techniques increasingly applied for this purpose. Despite extensive research, there is still a ...
Abstract: The Autoformer model exhibits limitations in capturing local information in time series forecasting, which is crucial for improving prediction accuracy. To address this, this paper proposes ...
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