Synergistic preprocessing approaches for improved time series analysis
This paper systematically evaluates the performance of an LSTM baseline model, along with four smoothing augmentation methods (Kalman, Laplace, Moving Average, Savitzky-Golay), under different normalization strategies (Min-Max and Z-Score) for multivariate time-series forecasting. Experiments were c...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Universitas Ahmad Dahlan
2026-02-01
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| Col·lecció: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Matèries: | |
| Accés en línia: | https://ijain.org/index.php/IJAIN/article/view/2321 |
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