T‐VAE: Transformer‐Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data

ABSTRACT Anomaly perception in multivariate time series data has crucial applications in various domains such as industrial control and intrusion detection. In real‐world scenarios, the sequence information in multivariate time series data, which encompasses the temporal order and dependencies among...

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Bibliographic Details

Published in:	Expert systems Vol. 42; no. 7
Main Authors:	Li, Chang, Kiat, Yeo Chai, Jing, Jiwu, Long, Chun
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.07.2025
Subjects:	Ablation anomaly perception Multivariate analysis Perception Representations Sensitivity analysis Time series time series data transformer variational auto‐encoder Volatility
ISSN:	0266-4720, 1468-0394
Online Access:	Get full text
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