Anomaly Detection in Time Series Data Using Reversible Instance Normalized Anomaly Transformer

Anomaly Detection in Time Series Data Using Reversible Instance Normalized Anomaly Transformer

Anomalies are infrequent in nature, but detecting these anomalies could be crucial for the proper functioning of any system. The rarity of anomalies could be a challenge for their detection as detection models are required to depend on the relations of the datapoints with their adjacent datapoints....

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Bibliographic Details
Main Authors: Ranjai Baidya, Heon Jeong
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
time series data
anomaly detection
attention mechanism
transformer
normalization
Online Access:https://www.mdpi.com/1424-8220/23/22/9272

Internet

https://www.mdpi.com/1424-8220/23/22/9272

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