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With the booming of large-scale network devices, anomaly detection on multivariate time series (MTS), such as a combination of CPU utilization, average response time, and network packet loss, is ...
This repository contains the official PyTorch implementation of our paper: "TransMamba: Time-Frequency Discriminative Feature Learning for Multivariate Time Series Anomaly Detection" (Submitted to ...
Multivariate time series anomaly detection is critical for industrial systems. However, for inter-variable dimensional modeling, existing work mainly focuses on low-order dependencies between variable ...
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