Notably, the effective extraction and utilization of the long-term and short-term dependency relationships, along with the features at various granularities encapsulated within high-dimensional and ...

Conventional time series models are restricted to narrow historical data patterns, missing out on product metadata, ...

To address this limitation, we propose a novel Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive learning. DACAD ...