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A large number of data processing strategies are available for microarray data analyses.
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High sampling rate requirement and the resulting large number of data for processing are the major problems[10].
In order to avoid a large computational overhead by processing large number of data samples, only one cycle or half cycle data (half of data from either side of the CDP) are passed through the proposed TFR technique, which significantly reduces its computational burden.
The tool is designed for processing a large number of data files in a high-throughput manner; it requires checking and correcting the assignment errors manually.
An important point is that the algorithm is very well suited for the processing of force curves having a large number of data points (typically, the experimental force curves include from 2500 to 3000 data points).
Their implementation made automatization and large-scale handling of data processing possible.
Pipeline of data processing.
This form of dynamic dataflow takes advantage of the property that in a large number of image processing applications, data production and consumption rates can vary, but are equal across dataflow graph edges for any particular application iteration.
A neural network is an information processing system consisting of a large number of simple processing elements called neurons.
GPU has a large number of processing cores.
With intrinsic parallel architecture and appropriate mapping technique Graphical Processing Unit (GPU) has the advantage of processing large number of threads and data compared to CPU.
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