Spatiotemporal attention-based trend and residual decomposition model for multivariate time series anomaly detection
Transactions of the Institute of Measurement and Control
Published online on April 17, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
Detecting anomalies in multivariate time series (MTS) data is essential for ensuring stability in critical domains such as industrial monitoring, healthcare, and financial transactions. Traditional methods often fail to capture complex spatiotemporal ...
Detecting anomalies in multivariate time series (MTS) data is essential for ensuring stability in critical domains such as industrial monitoring, healthcare, and financial transactions. Traditional methods often fail to capture complex spatiotemporal ...