Sentence examples for realistic correlation from inspiring English sources

The results are used to develop a realistic correlation of the restart process.

The prediction model is validated with real meteorological data to obtain realistic correlation information.

From this a realistic correlation between MCS and time has been predicted.

The development of a realistic correlation which can be of practical importance during the engineering design of high-viscous oil pipeline transportation facility for predicting restart process is presented as follows.

Preservation of the gut architecture and relative maintenance of physiological conditions (e.g., enzymes, transporters, mucus layer) allow evaluation of several absorption mechanisms in the same model, providing a more realistic correlation with in vivo studies.

This process is based on the best estimator of Fourier coefficients that can be used to reconstruct power spectra at the target locations which are consistent with realistic correlation laws such as those described by Dyrbye and Hansen (1997) and Simiu and Scanlan (1996).

In this respect, further analysis needs to focus on scenarios that are aligned with realistic distribution systems, using field data to identify realistic correlations between vaccination at successive rounds, rather than assuming these to be independent, and to assess what are feasible intervals between rounds.

The usage of high-resolution geographical map data and a site-specific propagation model bring realistic spatial correlation and variability in pathloss predictions.

A real environment (high-resolution geographical map data) and a site-specific model are used to bring realistic spatial correlation and variability in pathloss predictions of a typical two-tier network with FAPs.

The piecemeal reconstruction of a tumour's size, shape and margins, which every pathologist must do mentally, can hardly be considered to have a realistic 1 1 correlation with modern imaging methods, such as mammography, breast ultrasound and magnetic resonance imaging.

In other words, the non-linear models may yield realistic predictive correlations close to 0 combined with very large biases, while the strong assumptions of the linear model appear to control the bias, but at the same time may result in poor predictive correlations.