Sentence examples for computing to identify from inspiring English sources

To improve the efficiency of solution analyzing of a new engineering decision problem in decision support system (DSS), this paper utilizes sentence similarity computing to identify solved engineering decision problems in DSS which new problems users input are similar to.

Ingenuity maps gene IDs to its database and performs statistical computing to identify the most significant ontologies, canonical pathways, and networks overrepresented in a given gene list as compared with the whole list of genes in the Human Genome U133 Plus 2.0 array.

Using biquadratic approximations to the local surface, the Gaussian and mean curvature are computed to identify the peaks and pits.

In this work, the session throughput (Ses_Thp) is computed to identify users whose performance in terms of QoS is degraded.

Subsequently, values of cumulative degree-days are computed to identify the stages of fruit growth and crop development.

A distance matrix with all pair wise distances between clusters is computed, to identify the pair which is closest in distance space, that will be merged.

Four nodes are placed on all possible points, and their interference interactions are computed to identify the category of the topology.

The point-biserial correlation (rpb) was computed to identify if any significant linear relationship existed between categories of violations and repeated disciplines and revealed no statistically significant relationship.

Geometrical properties of facets, edges and vertices such as gauss and mean curvature at vertices, orientations of facet normals, shape structure of triangles, dihedral edge angle (angle between facets), etc. have been computed to identify and classify the regions.

In Microcosm, p-value is computed to identify significant correlation between miRNA and target genes by considering the genomic miRanda score distribution.

Pair-wise Spearman's rank correlation coefficients were computed to identify taxa, which were either correlated or anti-correlated in urine specimens.