Sentence examples for extrapolation processes from inspiring English sources

Oculomotor extrapolations were included to distinguish between potentially distinct extrapolation processes for perception and action, which may involve different higher level areas of the ventral and dorsal streams [22], [47] [49].

However, even in the absence of visual information people are able to initiate their responses by using motion extrapolation processes.

The interpolation and extrapolation processes reveal that unperturbed fibrosarcoma Sa-37 TGK has a point of inflection, Vi at (17.56 days, 1.301 cm).

To include uncertainty in the extrapolation process, they used trapezoidal fuzzy numbers to shape the time-to-failure estimation.

In the first approach, angle gathers are constructed on the fly at different depth steps of the wave extrapolation process.

The approximation to the interpolated operator is embedded into the extrapolation process to keep in step with the hierarchic order structure of the scheme.

In this paper, we propose to use a non-linear fuzzy regression model for performing the extrapolation process and adapting the fuzzy probability theory to the classical reliability including uncertainty and process experience for obtaining fuzzy reliability of a component.

In particular, in this type of extrapolation process in which one may want to look at 20 or so new ligands, arriving at the correct end-points by long perturbation paths sometimes seems hopeless.

In the case of a nonlinear phase function, the point where the extrapolation process is to be started must be selected carefully, since maxima in the phase function induce steps in the sequence of partial sums.

The quantification and reduction of the uncertainties in the extrapolation process in laminar flame speed measurements were studied using expanding spherical flames under positive Markstein length (Lb > 0) conditions.

The results showed that although the soil map derived from the extrapolation process indicated appropriate spatial coverage of soil classes in the interest area, the resultant predictive map of calibrated-in process was slightly more accurate, i.e. higher κ, lower Brier scores.