Sentence examples for associated with data processing from inspiring English sources
Nonetheless, the methods used here deliver a reasonable estimate of the labour costs associated with data processing.
Among the different methods proposed, digitalized imaging using a high-resolution scanner associated with data processing procedures appears to be a simple easily accessible technique.
As such the groups are entirely emergent from the collected data, and independent of any classification bias typically associated with data processing carried out by humans.
The use of Machine Learning technologies to do this provides the advantage of making no prior assumptions about the nature of the data and eliminating natural bias associated with data processing carried out by humans.
Military geographical intelligence analysis in support of both tactical and strategic operation is a process that is associated with data gathering, processing, analyzing, and distribution.
A number of studies detail the difficulties associated with data collection and processing of diffraction data that originates from several hundreds of 3D crystals, limiting the ability to integrate and merge the data in order to determine a structure in such a way (Shi et al., 1998; Jiang et al., 2011).
Fig. 2 Big Data challenges.The picture illustrates three main categories of Big Data challenges that are associated with data, its management and processing issues.
The paper compares the error associated with various data processing methods to obtain true stress plastic strain data from the load deformation curves generated from uni-axial compression tests.
Due to complexities associated with this data processing problem, a novel visual analytics approach was explored in a 3D interactive display to facilitate identification of significant features for use in a classifier algorithm.
Clearly, the improvements afforded by deconvolution must also be weighed against the computational costs associated with the data processing based on the particular application.
Thus, the software application described in this work is complementary to existing ones, since it provides a free, simple and quick way to perform flux analysis, with an extensive portfolio of methods, without all the complexity and specificity associated with experimental data processing.
