Sentence examples for multivariate and dynamic from inspiring English sources

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A pattern recognition-based methodology is proposed for fault diagnosis of multivariate and dynamic systems.

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Visualization instrument is a new generation of information visualization techniques that is adapted to multivariate, time-sharing, and dynamic complex network analysis.

This paper proposes a multivariate extremum seeking with the Newton method (ES-NM) to improve the control performance for multivariable static and dynamic systems.

Combining the pharmacokinetic parameters (Ktrans, Kep and V) in a multivariate analyses resulted in an AUC of 0.83 (95% CI = 0.74 0.90) and 0.83 (95% CI = 0.74 0.90) for reader 1 and 2. No significant difference was found between the multivariate fast dynamic and the slow dynamic diagnostic performance (P = 0.49 and P = 0.85).

Based on ortholog-based PPI inference and multivariate dynamic modeling of regulatory responses during C. albicans infections, several omics data were integrated for interspecies PPI network construction.

Prerequisites: Multivariate calculus and constrained static and dynamic optimization; differential equations; and intermediate macroeconomics.

In particular, these multivariate analyses (coupled with pharmacological and dynamic clamp manipulations) provide a novel, quantitative understanding of the electrophysiological development of the dopaminergic neurons, including generating hypotheses for how these developmental changes depend on underlying conductance densities.

Authors provide critical overview on the good modeling practices and introduce concepts of multiple-unit, adaptive and dynamic design space, multivariate specifications and methods for process uncertainty analysis.

On the basis of this multivariate linear dynamic model and the simultaneously quantified time-course transcriptomics, a refined C. albicans-zebrafish interspecies PPI network was constructed during the infection process.

Table 1 shows hazard ratios for mortality for different levels of cardiovascular, static, and dynamic intensity in both univariate and multivariate analyses.

The proposed models are intrinsically multivariate and non-linear and capture the dynamic aspects of health change.

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