The healthcare industry is saturated in data, but accessing the right data, at the right time, remains a persistent challenge. Stringent, but necessary, privacy regulations around patients’ data often ...
Abstract: Capturing complex intervariable relationships is crucial for anomaly detection for multivariate time-series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to ...
Abstract: This article proposes a novel solution to resolve the process monitoring problem in the fused magnesia smelting process (FMSP). The proposed solution consists of the following main steps.
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Pearson correlation analysis was then conducted to examine intervariable associations (42). Latent profile analysis (LPA) was performed to identify subgroups reflecting distinct patterns of childhood ...
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Intervariable relationships were examined using Pearson correlation coefficient, revealing statistically significant correlations between independent variable, mediating variable, and the dependent ...
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