Sentence examples for approach for random from inspiring English sources
Parizi et al. [22] presented an automated approach for random test case generation and uses mutation testing as a way of assessing their approach.
To correctly incorporate stress variability in the increasingly widespread application of probabilistic‑related rock mechanics analyses, a robust approach for random stress tensor generation is essential.
Meta-analysis was implemented to combine the individual association results for 2,925,090 imputed and genotyped SNPs (under additive genetic models) available in all three GWAS using the inverse-variance approach for random effect models.
Therefore, we explored possible solutions and finally propose two different approaches for random number generation.
As random number generation can be computationally time consuming, and the software requires a large amount of random numbers, Meredys gives the user a choice of two approaches for random number generation.
One of the most promising technologies for characterizing all of the TE-based variation with minimal ascertainment bias is the potential usage of some of the upcoming next-generation DNA sequencing approaches for random sequencing of the entire genome of an individual.
Here, we propose a multivariate random vector generation approach for generating random stress tensor components that is based on tensorial techniques and which incorporates inter-component correlation.
Knowledge of this impingement function allows treating non-random nucleation sites in a manner that parallels the approach used for random sites.
This difference-based approach compensates for random cell culturing artefacts and should identify the regions most strongly linked to clinical disease.
We need to develop an approach for generating random graphs with prescribed numbers (one or multiple) of connected components.
Finally, the last term indicates the CVaR(1−α) risk measure approach for the random parameters which their probability distribution functions are approximated through scenarios.
