Sentence examples for data retrieval and processing from inspiring English sources

Exact(6)

The experiments of EO-1 live Hyperion data wildfire classification service show that this framework can improve the quality of services for sensor data retrieval and processing.

To make appropriate and reliable decisions, the concern is to possess data that is accurate enough, timely enough and consistent enough [ 36]. Figure 3 illustrates the domain where autonomic management is applied in health care: (i) the data management of timely bedside procedures and (ii) the management of data retrieval and processing.

With this new service, AWS will provide ground antennas through their existing network of worldwide availability zones, as well as data processing services to simplify the entire data retrieval and processing process for satellite companies, or for others who consume the satellite data.

With AWS Ground Station, AWS handles every aspect of the satellite data retrieval and processing operation for the company, greatly reducing the cost and complexity associated with it.

SMART-parser, a Perl-script for batch queries against SMART [ 99], data retrieval and processing was developed to identify proteins with similar domains as Jmjd6.

A relatively small dataset was chosen in order to facilitate data retrieval and processing, but the mechanism is also applicable for larger-scale data.

Similar(54)

To meet such challenges, we augmented an open-source DBMS with novel data structures and algorithms for efficient data retrieval and query processing.

Traditional data management systems lack the capability to handle big data storage and analytics requirements and thus NoSQL technology is contributing to provide suitable solutions for timely data retrieval and efficient data processing.

One salient problem of existing systems is the lack of efficient data retrieval and analytical query processing mechanisms.

AT assisted with data retrieval and performed the natural language processing abstraction.

Typically this is to consider that, how quickly the data is produced and stored, and its associated rates of retrieval and processing.

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