Sentence examples for real-time identifying from inspiring English sources

The multi-spectral readings, he said, reveal differences in the field for each vineyard unfolding in real-time, identifying irrigation leaks, or taking a quick reading of what sections of the field may be ripening first.

To solve this problem and improve safety performance, an image-skeleton-based parameterized method has been proposed in a previous research to real-time identifying construction workers' unsafe behaviors.

Twitscoop detects growing trends in real-time, identifies breaking news and then monitors specific keywords along with graphs that display the activity for any given word on twitter.

Next in online part, the current driving condition is real-time identified by a well-trained support vector machine, and Markov chains-based driving behaviors are accordingly selected.

The weakness of classical nonlinear dynamic inversion, its sensitivity to modeling errors, is circumvented here by making use of a real-time identified physical model of the damaged aircraft.

The system could, in real-time, identify new NIs, record data, and produce time-series reports to align NI cases.

But it may allow them to track linguistic patterns on a vast scale and in something close to real time, identifying phenomena that can then be investigated more deeply by traditional fieldwork.

The sensitivity of NDI to modeling errors is eliminated here by making use of a real time identified model of the aircraft.

To do that, Cisco works with the cable operator to analyze the TV content in real time, identify relevant keywords in that content (as well as the context of those keywords), and then serve ads targeted at that those keywords.

Banks are also starting to collaborate with different loyalty companies to reward customers for their purchases in real-time by identifying offers and deals through geo-location.

Detecting microsleeps in real-time and identifying how these episodes of transition between wakefulness and sleep impair driver performance is relevant to the design and implementation of countermeasures such as drowsy driver detection and alerting systems that use EEG technology.