Sentence examples for acquiring and processing from inspiring English sources

The phrase "acquiring and processing" is correct and usable in written English.
It can be used in contexts related to data management, information technology, or any situation where obtaining and handling information or resources is discussed.
Example: "The system is designed for acquiring and processing large volumes of data efficiently."
Alternatives: "gathering and handling" or "collecting and analyzing".

Exact(31)

As part of the research, he has developed software for acquiring and processing digital images.

We describe a general approach for acquiring and processing multidimensional NUS NMR data for improving sensitivity.

The time delay mainly comes from signal acquiring and processing, computing and applying the control force.

With standardized terms, the investor faces reduced costs of acquiring and processing the information necessary to exercise the right.

This includes acquiring and processing ultrasonic signals from the transducers to obtain the information of the spatial distributions of liquid and gas in an experimental column.

Vision-based control of motion has the main problem of handling the latency produced by acquiring and processing the CCD image.

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Similar(29)

We are grateful to BCBSM Project Officer Dr. Nora Maloy for her patience as we surmounted difficulties acquiring and then processing data to be used for this study.

The video signal was digitised to images with 256 grey levels, and the digital imaging application TCL-Image (TNO, Delft, the Netherlands) was used for acquiring and further processing the images.

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health.

Authors should adhere to discipline-specific rules for acquiring, selecting and processing data.

Acquiring, transmitting, and processing Big Data presents numerous challenges due to the complexity and volume issues among others.

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