Sentence examples for more robust final from inspiring English sources

Therefore, the adoption of a use case/task driven approach as one of the strategies in eliciting the requirements, both functional and non-functional and specification stages of the development lifecycle resulted in a more rigid hazard/risk analysis leading ultimately to a more robust final system.

Consequently a more robust final model (that averaged coefficients from all 10 data sets) was achieved.

In order to protect the piezoelectric fibers and make the structure more robust, (iv) the final packaging step is utilized PDMS to fully encapsulate.

"We note that France's regulator, CNIL, has been more robust, announcing a final ultimatum to Google to ensure quickly that its privacy policy complies with European law," writes Tench.

However, to have more robust estimates, the final sample size was determined to be at least 600 workers.

Optimized chemistries, laboratory assays and data analyses that produce more robust raw and final data will allow for more sensitive detection and interpretation of PHP.

The catheter crimping and breakage were attributed by the manufacturers to the material strength as this was a small cohort of prototype and assured that it would be more robust in the final product.

Previous research has shown that knowledge-based optimization models in process synthesis applications are more robust in both providing final outputs and improving computational performance.

This aggregate final ranking is more robust than each of the subordinate ranks as stated by Brauers and Ginevičius (2010).

The error in the calculation of product recovery increases approximately two-fold increasing the number of beds from 2 to 6. Therefore, the present study shows that implementation of a more robust method for the evaluation of final pressure during the equalization steps is imperative for the development of new models of industrial PSA processes, especially for the number of beds exceeding 2.

To avoid collinearity and create a more robust model, poverty rate was dropped from the final multivariable regression model; percentage of teaching hospitals was dichotomized, assigning a value of 1 to states with 5% or more teaching hospitals.