Sentence examples for conveniently predict from inspiring English sources

The spectral responses can be multiplied by the transmission spectrum of candidate filters to conveniently predict ΔF/F values and shot noise characteristics.

It can conveniently predict flow information with superior processing speed to improve our understanding of blood motion within the heart, which may have implications in the study of blood circulation efficiency.

Dynamic (time) behaviour, however, is most conveniently predicted by a viscous model.

A generalized correlation is developed which accurately and conveniently predicts the mass transfer in both two- and three-phase fluidized beds.

The effective characteristics of the examined composites in the steady states (high-elastic and glassy) can be conveniently predicted based on the known properties of the matrix and fiber.

Results show that the model accurately (i.e. maximum error of ±5%) and conveniently predicts surge and swab pressures for YPL (Herschel Buckley) fluid in eccentric annulus without requiring complex numerical procedures.

However, the semi-empirical model could be more conveniently used to predict the maximum jet velocity decay after its impingement the corner in a room than CFD simulation in terms of accuracy and the time required to design the indoor airflow pattern.

This method is conveniently used to accurately predict the two-dimensional concentration evolution characteristic of peak concentration position and duration.

It is shown that the proposed mechanics model and analytical procedure can be conveniently applied to predicting the springback, as well as the strain and stress distributions of metal sheets after unequal double-curvature forming, which is valuable for design of tools with complicated shapes in manufacturing industries.

In addition, CCs cannot be conveniently and effectively used to predict minimum network area and the optimum ΔTmin that should strictly be based on parameters and properties of individual as opposed to composite streams.

In the second stage, by using the predicted linear responses (acceleration, velocity and displacement) and the excitation to construct the input vector, the SVM is used to approximate nonlinear mapping from the input vector to system output and the trained SVM can be used to simulate and predict the nonlinear dynamic response conveniently.