Sentence examples for implementing an average from inspiring English sources

Typically the effect of thermal bridges on the energy performance of buildings is taken into account by implementing an average U-value in 1D whole building energy simulation program, which is referred to as the equivalent U-value method.

Computerized studies implemented an average of 7.1 success factors (range: 2 to 15).

Computer-generated studies implemented an average of 5.7 success factors (range: 3 to 11); and paper-based studies implemented an average of 3.7 success factors (range: 0 to 12).

Although the distance field, as tested herein, also implements an averaged gradient on the block's boundary, it does not affect the convergence at least in this example.

The association between the frequency of implementing an instructional mode and the average achievement score of schools in each group of countries can be visualized by plotting a line on a graph between the predicted schools' mean score in mathematics or science at two distal frequencies of implementing the instructional mode.

University heads are paid an average of £248,292 and wages continue to rise for those at the top of Russell Group universities, which recently implemented a 8.1% average pay rise for vice-chancellors.

In OODT, for example, each component is implemented by an average of 24 classes.

These models, inherited from temperature correction models for robot arms, are based on the empirical arm positioning error characterization of several temperatures inside its measuring range and by posterior corrections implemented using an average error approximation.

The twelve interventions implemented had an average target group size for each intervention of 33,000 veterans, 10,000 doctors, and 8500 pharmacies/accredited pharmacists.

This simple model was also compared to two models with additional free parameters: (a) a leaky averaging model that implemented an exponantial moving average when calculating the absolute integrated value of each bandit, (b) a leaky averaging model, in which the initial value of the reference (v prior ) was a free parameter.

SBRA adopted a maximum likelihood approach [ 7] for inferring the most likely network, whereas BVSA implements a model averaging approach which infers 'expected' or average networks based on the posterior probabilities of all possible networks.