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MOWE-Mamba: Restoring temporal continuity for multivariate time series forecasting
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DOI：10.1016/j.compeleceng.2026.111321.png)
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Abstract
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• A Mamba framework with Multi-Window attention for time series forecasting. • Context-adaptive patch fusion mitigates information loss in temporal modeling. • Extensive benchmarks show higher accuracy and efficiency than strong baselines.
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