Sentence examples for error to quantify from inspiring English sources

This study utilizes the light transmission micro-tomography (LTM) method to determine the permeability and entry pressure of two dimensional (2D) translucent porous media and integrates the LTM with a criterion of relative gradient error to quantify the corresponding REV of porous media.

The main difference of SSIM compared to PSNR is that it does not estimate perceived errors to quantify image degradations but considers them as perceived changes in structural information variation.

For deterministic models numerical approaches typically rely on root mean squared errors to quantify deviations.

We calculated an ordinal route error measure to quantify the error participants made in the stop-point ordering task as compared to the actual stop-point order (e.g., A then B then C).

This study proposes a priori discretization error metrics to quantify the information loss of any candidate discretization scheme without having to run and calibrate a hydrologic model.

We have implemented a Bayesian inversion method, and carefully modelled the various error sources, to quantify the detection limit of the complete system.

Indeed it is meaningful to formulate a discretization error estimator to quantify the accuracy of the discretization and to require that the approximated random field fulfils a prescribed target accuracy.

This approach is superior to traditional testing as it enables efficient characterisation of the effect of design variables on wheelchair performance, including error checking to quantify the effect of noise variables such as muscle fatigue.

To measure the quality of compressed data, we use root mean square error (RMSE) to quantify the difference between the original data and the decompressed data.

Even if such confidence is achieved, the irregularities in alveolar geometry make errors difficult to quantify.

Although this study concentrates on relatively small data sets where the error is easier to quantify, these results suggest the errors caused by MSA may be even more prevalent in larger data sets.