Sentence examples for adapt data from inspiring English sources

The phrase 'adapt data' is correct and usable in written English.
You can use it when referring to the process of changing certain aspects of data in order to suit a particular purpose. For example, "We need to adapt our data to the new regulations."

Exact(6)

Speaker adaptation methods aim to adapt data independent statistical models to more specific models (for a particular speaker or environment) using only a small amount of new adaptation data.

For instance, the system is able to compose or adapt data according to the available sensors and the given request.

To achieve fast readout of ADC data, we adapt data transfer system via Ethernet LAN using 100 Mbps SiTCP (Uchida 2008).

The reason is because the arranging of buffers (due to the mixture of preambles, data and pilots) to adapt data to the FFT block is difficult, as explained in Section 2.1.

They thought propeller design would be a simple matter and intended to adapt data from shipbuilding.

Additional costs reflect the need to adapt data collection parameters to provide equivalent lidar sampling in domains of simple and complex topography.

Similar(54)

A group of influential, reform-minded Democrats presented Obama and Duncan with a memo early on that outlined RTTT, a competition that would leverage change by offering cash to states that agreed to adapt data-driven reforms.

The network server acts to eliminate duplicate packets, schedules acknowledgment, and adapts data rates (adaptive data rate scheme).

These methods are adapting data transmission rate, redirecting data traffic to different sensors, and using back-pressure techniques to inform neighbor sensor nodes not to forward data.

BioMart has successfully adapted data warehousing ideas such as data marts, dimensional modelling (4), and query optimization into the world of biological databases (5 13).

BioMart started by adapting data warehousing ideas to create one universal software system for biological data management and empower biologists with the ability to create complex, customized datasets through a web interface without the need for bioinformatics support (1).

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