Sentence examples for accurate at identifying from inspiring English sources

The phrase "accurate at identifying" is correct and usable in written English.
It can be used when discussing the precision or effectiveness of someone or something in recognizing or determining specific information or characteristics.
Example: "The new software is highly accurate at identifying potential security threats in real-time."
Alternatives: "precise in identifying" or "effective at recognizing".

Exact(38)

On average, the technique was about 90percentt accurate at identifying Web pages.

It is 77% accurate at identifying known centenarians, not predicting whether someone will live past 100.

The Air Force found that tDCS made airmen twice as accurate at identifying tanks and missile launchers in radar scans.

Not only are algorithms less accurate at identifying black faces, but African Americans are disproportionately subjected to police facial recognition.

Electronic monitors were 100% accurate at identifying medication events over the study period.

It takes 20 minutes, requires only an oral sample and is more than 90% accurate at identifying an HIV-positive result.

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Similar(22)

Previous work using synthetic speech continua suggests that phonemic categorization improves with age (e.g., Hazan & Barrett, 2000; Mayo & Turk, 2004), such that older children are more accurate than younger children, but not as accurate as adults at identifying different speech stimuli.

All subjects were less accurate and slower at identifying and discriminating the dental and retroflexed compared to the bilabial sounds.

After training, the machine learning models were tested on how accurate they were at identifying reports that contained cancer diagnoses.

In 2015, both Google and Microsoft designed deep neural networks that were more accurate than humans at identifying things in images in the annual ImageNet computer vision challenge.

In addition, upper and lower elementary students were more accurate and faster at identifying high-frequency derived two-morpheme words as compared with derived low-frequency words with high-frequency bases.

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