Abstract: Multivariate time series forecasting has a wide range of applications in the fields of computer supported cooperative work. In recent years, deep learning models like transformers, have been ...
Abstract: The importance of detecting anomalies in time series data has increased significantly due to the growing amount of data from sensors in the digitalization process. Algorithms focusing on ...
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