Sentence examples for up the data processing from inspiring English sources

The platforms such as GPU, Multicore CPUs etc. can be used to speed up the data processing in this case.

For target tracking purposes it is sometimes convenient to have a slightly different representation with redundant information to facilitate and speed up the data processing.

DSP speed up the data processing and also results in more effective in terms of recognition rate, which demonstrate that the SSIE implemented by DSP is sufficient to enable near real-time supervised target detection.

For instance, the MapReduce model should be considered when dealing with numerous input features because it can speed up the computation of the data processing.

As well as doing the mapping, DroneDeploy's cloud platform also takes care of the data processing to speed up the entire operation — delivering processed data back to the user in real-time and in an easily shareable format so they can act on the drone-delivered intel, rather than having to wrangle with the tech itself.

Amiato is certainly going up against some big names in the data processing space, but sometimes it takes a fresh team to tackle something in just the right way.

Automated data acquisition is carried out by these sensors and the acquired real-time data are sent, via the optic fibre network laid underneath the bridge, to a local hub before they are streamed to the data processing centre set up at the University of Nottingham via public Internet.

Now consider the source of these stories: a reporter who gets his E-mail off an Atex terminal set up by the data-processing department on the eleventh floor.

2) as well as the task scheduling feature of our HELPNI (Fig. 3e) in which tasks can be run in a distributed or parallel fashion, HELPNI with plug-and-play capability and modularity can significantly speed up the fMRI data processing.

All samples (unlabeled and labeled, control, and LPS-stimulated) were analyzed together via a single call to xcmsSet, which performs peak detection and sets up the data for further processing, including most importantly retention-time alignment.

It funds the startup costs of setting up new data processing centers in the hinterlands and intends to turn over ownership to each center's employees a few years later.