Sentence examples for procedures can then from inspiring English sources

Standard inference procedures can then estimate system reliability, but they take no advantage of a system's fault-tolerant structure.

The resulting error detection and correction procedures can then be performed periodically, thereby relaxing the reliability requirements and overhead associated with the checking mechanism.

Based on the result, stepwise regression model building procedures can then be performed to extract the potential synergistic interactions between antibiotics.

Once the decision has been made as to which variables will be included in the score and which variables will be used to standardize the score, the statistical procedures can then be performed.

The effectiveness of the two procedures can then be compared on the basis of: (i) type-II errors during region selection, (ii) the proportion of variance in measured IQ change that could be accounted for by structural change, when tested on the remaining (independent) subsets, and (iii) the computational cost of both procedures.

By modifying the terms in the power balance relation of Eq. (1) according to the specified coupling matrices (varvec{C}_{text{as}}) and (varvec{C}_{text{sa}}) [Eqs. (9)–(10)], the hybrid WBM-SEA predicting procedure can then be formed which possesses a better computing efficiency than the hybrid FE-SEA model [49, 50].

Success of the RNAi procedure can then be monitored by following the loss of GFP signal.

A two-stage procedure can then be devised to identify clusters of X i that have an increased probability of Y i  = 1.

The sets of interacting SNPs identified in this procedure can then be used in statistical models for genomic-assisted prediction of quantitative traits [ 7, 8, 36- 38].

The testing procedure can then be evaluated by two common statistical measures, sensitivity and specificity, often conjunctly visualized by a receiver operating characteristic (ROC) curve.

Using an iterative procedure, we can then adapt the filter kernel according to the image structure and the statistical image noise.