Enhancing autoencoder models for multivariate time series anomaly detection: the role of noise and data amount: Enhancing autoencoder models for multivariate...: S. T. Sefati et al.
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| Title: | Enhancing autoencoder models for multivariate time series anomaly detection: the role of noise and data amount: Enhancing autoencoder models for multivariate...: S. T. Sefati et al. |
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| Authors: | Sefati, Seyedeh Tina1, t.sefati@tabrizu.ac.ir, Razavi, Seyed Naser1, seyed.razavi@siemens-healthineers.com, Salehpour, Pedram1, psalehpoor@tabrizu.ac.ir |
| Source: | Journal of Supercomputing; Mar2025, Vol. 81 Issue 4, p1-27, 27p |
| Database: | Applied Science & Technology Source |
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| ISSN: | 09208542 |
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| DOI: | 10.1007/s11227-025-07044-w |
