Sentence examples for data automated from inspiring English sources

To compare three methods for assessing wear time from accelerometer data: automated, log-books and a combination of the two.

As high-throughput biology generates increasing amounts of genomic and metabolic data, automated in silico approaches will become increasingly useful for making biologically useful predictions.

EU research is promoting the development of a range of technologies that could engender systematic violations of its subjects fundamental rights, including militarised border controls, surveillance and profiling technologies, the widespread collection and analysis of personal data, automated targeting systems, satellite and space-based surveillance, and crisis management tools.

Nevertheless, we will demonstrate that, even for such heavily curated data, automated techniques are needed to extract unbiased and hypothesis-free trends and to check for internal consistency.

Together with these gene expression and flow data, automated imaging analysis identified chemokine-driven proinflammatory neutrophils, which might be activated by lethal viral loads.

JumpCrew, on the other hand, brings to play a human service component combined with a variety of technology, data, automated processes and economies of scale that drive effective campaigns on reasonable budgets.

AI help supply chain leaders collate and make sense of this data, automating the ability to predict customer demand, forecast product availability, optimize routes for delivery, and better target and personalize communication with customers.

Notably, Web-based surveys have several advantages: speed of data collection, automated data entry, and less potential for human errors, to name a few.

The company is offering a full suite of capabilities including multiple protocols, data reduction, data protection and automated data healing.

Using automation tools also helps tremendously with processing data, automating mundane tasks and streamlining workflows so marketers can focus on the real task at hand: telling a beautiful, compelling story.

This also highlights that standard ontologies and terms are not systematically followed making data intractable for automated data analysis.