Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research

Usmani, Usman Ahmad and Abdul Aziz, Izzatdin and Jaafar, Jafreezal and Watada, Junzo (2024) Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research. IEEE Access, 12. 174564 – 174590. ISSN 21693536

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Item Type:	Article
Impact Factor:	Cited by: 0; All Open Access, Gold Open Access
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	21 Aug 2025 10:42
Last Modified:	21 Aug 2025 10:42
URI:	http://scholars.utp.edu.my/id/eprint/38576

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