Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have improved ...

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 financial ...

Subsequently, the IOP level was taken as the dependent variable and the above indicators (i.e., age, gender, BMI, FT4, TC, TG, LDL-c, and ApoE) included as independent variables in a multivariate ...

Multivariate analysis: Since the dependent variable is a categorical variable in logistic regression, which is more commonly used and easier to interpret the results (29), the indicators with P < 0.05 ...