IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...
IEEE

Missing Data Imputation for Industrial Time Series With Adaptive Median Iteration Based on Generative Adversarial Networks

Abstract: Time series in industrial processes often exhibits missing data caused by inevitable factors such as equipment failures and sensor errors. These missing data include vital information for ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...