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DrafTS: Time-Aware Decomposition with Residual Correction for Time Series Modeling
Real-world time series contain evolving underlying dynamics with irregular variations that lack stable temporal patterns and are often referred to as noise. Existing methods address this mixture by filtering frequencies or suppressing noisy observations. They either miss temporal evolution or risk s
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