Sentence examples for predicted availability from inspiring English sources
For Microsoft, finding a Surface friend in AT&T must be welcome news: Since a splashy launch of the pricey computer last May, at which Microsoft predicted availability in hotels, stores and restaurants by the end of the year, Surface hasn't, well, surfaced anywhere.
The startup's newest "predicted availability" feature, which is expected to launch in San Francisco by the end of year, takes historical parking data from dashcam videos that SpotAngels collects through members of its community.
The startup plans to use the funding to expand to other U.S. cities and improve its free mobile app, including a new "predicted availability" feature that it hopes to launch later this year.
The SAC assumes for the spectral handoff that a measurement has been previously made to know whether the channel is available or not with certain precision, while the AAC predicts availability based on the average value per channel of previous availabilities.
Demand on beds varied significantly throughout the year, so Dodgson and colleagues used three years of data to predict availability for each week.
(2017) developed a procedure in which a discrete, visual conditional stimulus (houselight illumination; CS) predicted the availability of a retractable sipper that rats could lick to receive unsweetened alcohol [Alcoholism: Clinical and Experimental Research, 41, 608 617].
This is due to the predicted reduced availability of the CO32− ions they require for precipitation of CaCO3 [7], [7].
In 1984, the US Secretary of Health and Human Services famously predicted the availability of an HIV vaccine within 2 years.
Both fasting leptin and AG concentrations predicted D2R availability in the dorsal striatum, but in opposite directions.
Surprisingly, we also found that AgRP neurons exhibited a sudden and sustained decrease in spiking over the course of minutes, in response to feeding as well as to cues that predicted the availability of food.
Step2: Predict availability and effectiveness of services on different cloud resources, based on information models.
