Sentence examples similar to classification of controls from inspiring English sources

At first, a classification of control objectives is made according to the definition of hierarchical control layers in MGs.

The SSCDs of multiple power plants or substations communicate with each other, constituting a SSCS with a hierarchical classification of control scheme like Electric Power Alarming and Coordinated Control System (EACCS).

We established (i) the degree of agreement of HbA1c results between the NGSP-certified and the IFCC-calibrated (converted to NGSP values) immunochemical method and (ii) the difference in the classification of control of diabetes mellitus (DM) in individual patients between the methods.

This model enabled correct classification of control subjects and patients in 78.4% of cases.

A convenient classification of controlled-release systems is based on the mechanism that controls the release of the substance in question.

These include the cross-sectional study design, lack of respective data for the rainy season, and the classification of control children.

Table 4 describes the classifications by the two experienced reviewers of the 45 control charts considered and the final agreed-upon classification of control charts for each facility and its units.

Incorporating all these regional DVR estimates as predictor variables in discriminant analysis yielded accurate classification of control subjects and AD patients with high sensitivity and specificity, and the results agreed well with those using the cerebellum as the reference region.

Considering DVR parameters of multiple regions simultaneously in discriminant analysis yielded highly accurate classification of control subjects and AD patients, and the results using the white matter or the cerebellum as the reference region were in very good agreement (Table  2).

AUC data indicated that classification of control and bvFTD groups cross-sectionally were best achieved using RD, measured within the right uncinate fasciculus (AUC = 0.86, specificity = 94%, sensitivity = 68%), followed by MD (AUC = 0.83, specificity = 89%, sensitivity = 74%), FA (AUC = 0.79, specificity = 67%, sensitivity = 84%), and AX (AUC = 0.75, specificity = 83%, sensitivity = 74%).

Classification of control and bvFTD groups longitudinally were best achieved using FA change, measured within the right cingulum bundle (AUC = 0.79, specificity = 94%, sensitivity = 63%), followed by MD (AUC = 0.77, specificity = 89%, sensitivity = 68%), and RD (AUC = 0.76, specificity = 100%, sensitivity = 58%), with AX performing less favorably (AUC = 0.53, specificity = 67%, sensitivity = 47%).