Sentence examples for data to ascertain the from inspiring English sources

Cables carried signals from the connectors to a computer, which applied machine-learning to the data to ascertain the movements that Kochevar wanted to make.

Due to highly sparse nature of EHRs, there is need of organized standard based EHRs data to ascertain the benefit of mining and also to improve storage capacity.

These observations do not contradict the observations regarding the difficulties of valuing data: to ascertain the qualitative fact of diminishing value, one does not have to know how to measure it precisely.

Historically, it has been difficult to accurately verify the rates of hypoglycemia within a clinical setting and there is a need for high-quality, real-world data to ascertain the true rates of hypoglycemia in clinical practice.

The joints were initially calibrated using existing experimental data – to ascertain the validity of the numerical model used – and then parametric studies were carried out using different steel fibre ratios coupled with increased spacing of shear links.

A survey was conducted at a prominent commercial conference devoted to the subject area, along with secondary data to ascertain the financial impact of today's FFPs and to investigate the underpinning factors as to how they are producing such stellar incremental revenue streams.

New research explores the value of financial and market data to ascertaining the likelihood of bankruptcy.

When the vehicle is on the road, the recognition module uses the classifier together with current data to ascertain that the behavior of the vehicle is as intended.

Although we do not have the epidemiological data to ascertain whether the human cases can be attributed to animals/poultry it is clear that the majority of cases in all age groups below 40 are from these common serotypes.

Although this process relies on an interpretivist approach, the codes were re-examined in relation to the quantitative data to ascertain proximity to the research questions and provide an arguably meaningful interpretation of the interview data.

These two researchers then compared and discussed the coding and resultant themes, moving back and forth within the data to ascertain that themes captured the meaning of the coded data, and revising where necessary the fit of the coded data into each theme.