TCF-Trans: temporal context fusion transformer for anomaly detection in time series

TCF-Trans: temporal context fusion transformer for anomaly detection in time series

Anomaly detection tasks involving time-series signal processing have been important research topics for decades. In many real-world anomaly detection applications, no specific distributions fit the data, and the characteristics of anomalies are different. Under these circumstances, the detection alg...

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Bibliographic Details
Main Authors: Peng, Xinggan, Li, Hanhui, Lin, Yuxuan, Chen, Yongming, Fan, Peng, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Anomaly detection
Deep learning networks
Online Access:https://hdl.handle.net/10356/173799

Internet

https://hdl.handle.net/10356/173799

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