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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Detalles Bibliográficos
Autores principales: Peng, Xinggan, Li, Hanhui, Lin, Yuxuan, Chen, Yongming, Fan, Peng, Lin, Zhiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611135/
https://www.ncbi.nlm.nih.gov/pubmed/37896601
http://dx.doi.org/10.3390/s23208508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611135/
https://www.ncbi.nlm.nih.gov/pubmed/37896601
http://dx.doi.org/10.3390/s23208508

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