Sentence examples for raw computation from inspiring English sources

Exact(3)

Well, the new iteration is SSE4, and the upgrades are mainly on the raw computation side.

In addition to raw computation data, the web server visualizes structures around the predicted catalytic residues for users to easily inspect the regions in which they are interested.

For the convenience of the reader, all datasets used in this work, many raw computation results as well as a PERL program for TM classification (calculation of hydrophobicity, sequence complexity and z-score of TM regions) are available at the WWW-site http://mendel.bii.a-star.edu.sg/SEQUENCES/ProblemDomains-TM-classification/ for download.

Similar(57)

Our hardware implements the first step of the method, which consists of feature extraction and raw match computation by means of radiometric similarity computation.

Processors give up raw computational capacity for the ability to support large and irregular computations robustly, while FPGAs give up the ability to switch rapidly among diverse tasks to maximize available compute density and spatial parallelism.

Besides, a novel time domain SAR raw data computation procedure is also proposed in this paper.

The backscattering is multiplied with a Rayleigh distributed random variable, and the speckle effect is obtained by summation of each facet contribution during SAR raw data computation.

The matching score preprocessing technique based on multi-normalization effectively suppresses any unwanted peculiarities involved in the raw similarity computation of the individual matchers.

In this section we compare our simulator with some of the currently proposed simulators in terms of both raw data computation and reflectivity pattern estimation.

From the raw data computation point of view, we proposed a new time domain method that consumes the duration of the procedure in an amount that is related with the resolution, pulse repetition frequency, and beamwidth of the antenna.

Score normalization is essentially a transformation technique that effectively normalizes any unwanted peculiarities involved in the raw similarity computations [13].

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