Sentence examples for evaluated from a number of from inspiring English sources

The proposed MPU architecture is evaluated from a number of salient viewpoints, which include the distribution, review and revocation of access permissions, and the support for important memory protection paradigms, including hierarchical contexts and protection rings.

Performance of prediction models were evaluated from a number of measures including prediction accuracy, sensitivity, specificity, area under the curve (AUC), as well as Matthew's correlation coefficient (MCC).

The adhesive property of the silk sericin-releasing bacterial nanocellulose gel and the commercially available paper mask was evaluated from a number of cells on the samples after being attached to a wound on porcine skin, namely a peel assay.

Predictors of the magnitude of any practice effects were evaluated from a number of socio-demographic indices collected on enrolment for the UMAT, including age, gender, postal address, language spoken at home, type of secondary school, country of origin and self-identification as being of Aboriginal or Torres Strait Islander origin (ATSI).

The recombination map over the past few generations can be evaluated from a large number of pedigrees in which individual recombination events are detected by comparison of parent and offspring genomes [ 12, 13].

This way, visibility is evaluated from a finite number of points [28 30].

He shows a willingness to think about possibilities, and he can analyze and evaluate events from a number of different possible perspectives.

In this work, we propose to fine-tune EPNN parameters by means of metaheuristic-driven optimization techniques, from the results evaluated in a number of public datasets.

The performance of OKVAR-Boost was evaluated on a number of GRNs obtained from DREAM3 in silico challenges.

Its specificity, which has been evaluated in a number of studies, ranges from 99.97% to 100% [ 2, 4, 29- 36].

The performance of the proposed algorithm is first evaluated on a number of benchmark datasets from the DREAM3 challenge and then on real datasets related to the In vivo Reverse-Engineering and Modeling Assessment (IRMA) and T-cell networks.