Sentence examples for in a better approximation from inspiring English sources

An additive modelling approach leads to better results at low MWCNT-volume contents, while at higher MWCNT loadings a multiplicative modelling approach results in a better approximation of the experimental data.

In a better approximation the power level and the antenna characteristics, e.g. the direction of the main beam of the transmitter, as well as the reflections and absorptions along the path from antenna to the home of the participant, as the housing parameters should be taken into account.

In this setting, a better approximation of how much data is required could be obtained.

In this way, a better approximation of the actual brushstroke width was obtained.As it will be shown in the following, measures obtained during the manual brushstroke extraction phase could be directly correlated with information extracted in the characterization phase.

Measuring levels of each of the xenoestrogens in blood is a better approximation of real exposure at the target organ level than inferring cumulative exposure by estimating from mass balance of dietary levels.

Although this alternative method for measuring ARIs gives, in some studies, a better approximation of when APD90 occurs, it lacks the theoretical foundation of the Wyatt method, which in any case is designed to indicate tR, not MAP90, with the assumption that tR occurs near APD50.

Future work also should focus on incorporating a greater and more systematic consideration of social characteristics with the population distribution and building characteristics of this project in order to achieve a better approximation of human losses in an earthquake.

Apparently, the potential surface used in this paper is a better approximation to the M C yield surface in shape, meaning that it is more reasonable than the one employed by the embedded M C model.

Therefore, the (ell_{p}) quasi-norm minimization [11 13] was introduced instead of the nuclear norm minimization in order to give a better approximation to the original problem (1.1).

The minimum spouting and fluidization velocities predicted using the neural network models developed in this study show a better approximation to the actual experimental values than those obtained from correlations available in the open literature.

Lastly, we study the A-statistical convergence of these operators and also, in order to obtain a better approximation, we study a King type modification of the above operators.