Sentence examples for given the augmented from inspiring English sources

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Arbovirus infections have acquired increasing interest given the augmented globalization and tourism movement all over the world that could be at the basis of epidemic events.

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We use the T-S fuzzy control method to form a T-S fuzzy singular system and we give the augmented system and compact form of a T-S fuzzy singular system.

Conditional on these augmented times and model parameters, the likelihood of the data is available, but since there is no unique way to choose the augmented times given the observation, a systematic exploration of the augmented times is necessary for inference.

In the problem at hand, the state of the system at time t is given by the augmented channel vector, (mathbf {h}_{^{t-R+1}_{t}}), and Eqs.

In view of the invisibility of Mars' natural satellites in some cases, a visibility condition analysis is given and the augmented XPNAV in a different visibility condition is numerically simulated.

First, a cross-validatory approach was used to predict the results of the screening swabs for each patient in turn given the preceding day's augmented data (sampled from the posterior) for other patients.

No bikini-clad women here — they're giving all the augmented reality love to the stars of the NCAA.

When David is assigned to make a campaign for Augmenta, "the first believable augmented reality interface," he is given the ultimate tool for constructing his own reality.

The observation model determines the likelihood of the observed data (the patient swabs) for a given realization of the epidemic process (the augmented data), and the transmission and importation model specifies the likelihood of the realization given the model parameters.

Given the kinds of breakthroughs in technology behind the development of artificial worlds that looked remarkably close to the real thing, he decided to help found a company that would focus on virtual reality and augmented reality services.

The posterior probability of the model, given the data, is Pr (θ | X, Y, S ) ∝ L (θ | X, Y, S ) g = Pr (Y | θ ) Pr (X, S | Y ) g, where L(θ| X, Y, S) is the likelihood of observed and augmented data, given the model parameters, and g is the prior distribution of the model parameters.

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