Abstract: Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has attracted rapidly increasing ...
Abstract: Multivariate permutation entropy (MvPE) is an effective complexity measure method for multichannel signals, which has been widely used in bearing fault diagnosis. However, existing MvPE ...
Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...
In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...
It is an important question how human beings achieve efficient recognition of others’ facial expressions in cognitive neuroscience, and it has been identified that specific cortical regions show ...
ABSTRACT: The K-means method is one of the most widely used clustering methods and has been implemented in many fields of science and technology. One of the major problems of the k-means algorithm is ...
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The Society of Multivariate Experimental Psychology (SMEP) was founded in 1960 to encourage the development of psychological theory and knowledge in the context of multivariate designs, multivariate ...
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