Explainable dual LSTM-autoencoders with exogenous features for anomaly detection and supply chain forecasting
Abstract Accurate demand prediction and early detection of anomalies are essential for efficiency, costs and users’ satisfaction in supply chain. Due to enormous growth, the retail systems have become more complicated and there is need for more advanced and intelligent systems for optimal management...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2025-11-01
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| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-025-26449-4 |
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