Sentence examples for deal with data processing from inspiring English sources

Exact(2)

The master core deals with tasks allocation and the seven slave cores deal with data processing.

If you have to continually get back in line to deal with data processing experts on the engineering team, it discourages this kind of experimentation in a much more rigid system.

Similar(58)

This study received approval of the CNIL (the French data protection permanent committee, authorization N° 907054), the CCTIRS (the French advisory committee dealing with data processing on health research) and the CNOM (the French council of the college of physicians) for France.

All assembly visualization packages face the following challenges when dealing with NGS data: processing a very large number of reads, providing high-quality rendering and navigation of assembled reads, and supporting a widening range of assembly formats.

The "maximum relevance & minimum redundancy" (mRMR) method was originally developed by Peng et al. [50] to deal with the microarray data processing.

Working on a highly urbanised area in the German Ruhrgebiet, models dealing with satellite data processing, traffic flows, pollutant emission and atmospheric dispersion were applied in an integrated fashion, under conditions representative of the urbanised area as it is today.

Clause 176, which deals with the approval process for public sector data processing framework documents, requires DCMS' Secretary of State to obtain parliamentary approval before issuing a document — with a period of 40 days afforded for this scrutiny process.

The well-designed big data systems must able to deal with all 6Vs effectively by creating a balance between data processing objectives and the cost of data processing (i.e., computational, financial, programming efforts) in big data systems.

We suggest to implement 1C1V in workflow systems which is crucial for enabling users to deal with data preprocessing and post-processing.

While extremely useful for many types of projects and collaborations, these solutions inherently result in a loss of data processing flexibility compared to locally installed resources and may be unsuitable for projects dealing with sensitive data.

The mRMR was originally developed by Peng et al. [ 22] to deal with the microarray data processing.

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