Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...
Abstract: Multivariate time series data often demonstrate sparse and irregular characteristics in real-world signal processing applications, making anomaly detection challenging. This paper introduces ...
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