Sentence examples for using computational measures from inspiring English sources

While the two methods were comparable when using computational measures of evaluation, FBPA outperformed STEM in finding biologically meaningful clusters in both the irradiated and bystander cases.

To do this we evaluated STEM and FBPA in both treatment conditions and showed our assessment of the results of both methodologies using computational measures as well as biological enrichment.

This study aims to present a rigorous procedure to study potential accident scenarios in an offshore (floating processing) facility with different ignition source locations and verify the effectiveness of safety measures using computational fluid dynamics code.

Whilst wire deflection has been measured using computational methods such as edge detection [20], there is, to our knowledge, no described method of wire deflection measurement that is clinically appropriate.

Academics described their latest research with an emphasis on how data and new research methods, such as using computational approaches and unobtrusive culture measures of culture, are opening up opportunities for companies to better understand how their overall culture and subcultures within departments or teams affect their organizations.

There are currently no specific and standardized measures for computing the similarity between the fixation density maps and saliency maps created using computational models in 3D situations.

An underlying question in this study concerned the validity of using computational linguistic data concerning first-person pronouns and emotional words as a way of measuring project ownership.

The discrepancies between simulated and measured results were discussed for future improvements of virtual testing of AC using computational modeling.

With the advent of microarray technologies for measuring genome-scale transcriptional responses, there has been a renewed interest in using computational methodologies to study systemic responses [1].

Numerical simulations were performed using computational resources at the National Energy Research Scientific Computing Center NSERCC).

I analyze signs produced in a lexical elicitation task using two computational measures: a jaccard similarity index – to evaluate formal/semantic overlap in signs produced by signers in contact and signers who have never interacted with each other – and a measure I call "lexical richness" – which captures the distribution of form/meanings in each homesigner's lexicon.