Sentence examples for average features of from inspiring English sources

Exact(11)

A second-order corrected NewWave profile performs reasonably well in capturing the average features of large waves recorded during the January storms.

In bubbly flows, the bubble size distribution dictates the interfacial area available for the interphase transfer processes and, therefore, understanding the behaviour and the average features of the bubble population is crucial for the prediction of these kinds of flows.

Finally, we Emphasise that, although the long-term average features of field variations and their time derivatives look quite similar in both hemispheres, there are significant differences when single events are considered (Posch et al., 1999; Papitashvili et al., 2000; Hajkowicz, 2006; Kozyreva et al., 2006).

Specifically, the spatial correlation calculation provides the average features of the image, disregarding their specific location in the image.

This process introduces 228 [(38 + 38) × 3] composite features, which are named structural maximum, minimum or average features of u.

The average features of legitimate users are then used to authenticate the identity of the legitimate user as a mechanism for generating multibyte passwords.

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Similar(49)

Although the fluctuation is strong, the average feature of the energy release rate is characterized by the power-law decay for both pre- and post-April 16 periods.

In sub-tomogram averaging, features of cryo-electron tomography are combined with single-particle reconstruction procedures to provide 3D information and structural information of macromolecular complexes in situ.

First, arrays of a single antibody were generated with an average feature diameter of 4.5±0.5 μm and average feature distance of 11.4±1.4 μm.

This novel method can produce microfluidic channels with average feature size of 100 μm, while feature size of 50 μm or smaller is achievable by making use of the interference effect from laser impulsion.

The feature data of each class are obtained from the samples by calculating the average feature data of all samples.

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