Sentence examples for capable of identifying when from inspiring English sources

Exact(1)

Specifically, DARPA's Media Forensics program is developing tools capable of identifying when videos and photos have been meaningfully altered from their original state in order to misrepresent their content.

Similar(59)

What is currently needed is a set of diagnostic tools capable of detecting and identifying when data cannot plausibly be treated as a realization of a process which is stationary in the variance.

He is fully capable of identifying where the need is greatest and jumping in.

We find that, provided with enough data, our algorithm is capable of identifying a pacemaker even when a weak signal is present in the data.

That is, participants proved quite capable of identifying, while undergoing the experience, when the disownership illusion began, and they did so in such a way that was consistent with their after-the-fact questionnaire responses.

Our findings show that students in later years are capable of identifying areas that need work, especially when they are confronted with real patients.

When the dog was capable of identifying even low concentrations of the target vapour (finding the hidden tumour), we began using non-target odours as controls.

The results presented above indicate that ConoSorter is capable of identifying conopeptides at high specificity and sensitivity, and, even when the dataset being analyzed ostensibly includes all known proteins, accurately assigning the appropriate superfamily and class.

When comparing Wigwams with other methods capable of identifying groups of genes co-expressed across different subsets of time series data, its main advantages are flexibility, statistical significance testing and relevance of the provided output.

People with Parkinson's disease are capable of identifying a beat in a piece of music, but have difficulty when it comes to reproducing the beat in their own minds.

We show here that the wAGEP method is capable of identifying the tissue of origin of CUP samples with 89% accuracy when excluding the most uncertain 30% of the samples.

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