Sentence examples for dispersed data from inspiring English sources

The forward march of economic globalization is creating ever more complex and geographically dispersed data supply chains.

Linear fits to the 0th order and dispersed data provided the rate of QE decline in each region.

Data collaboratives can bring together (or "join") widely dispersed data sets, in the process creating a better understanding of possible correlations and causalities as well as what variables make a difference for what type of problem.

To execute complex large-scale simulation and to share geographically dispersed data assets and computing resources collaboratively, a large-scale distributed simulation is needed.

The analyses show that studies involving geographically dispersed data must test for, and take into account when required, conceptually sound spatial effects in order to accurately assess impact.

Thanks to the fact that cloud infrastructures offer storage and network resources in several geographically dispersed data centers (DCs), data can be stored and shared in scalable and highly available manner with little or no capital investment.

The Cleversafe project uses a different approach based on dispersing data in encrypted slices rather than copying it.

This architecture features attribute-based encryption for selective access authorization and cryptographic secret sharing in order to disperse data across multiple clouds, reducing the adversarial capabilities of curious cloud providers.

We'll let Alphabet off also needing to invest in vast global educational programs to deliver universal worldwide literacy rates, being as they do also serve up video snippets and have engineered voice-based interfaces to disperse data orally, thereby expanding accessibility by not requiring users can read to use their products.

Bonadonna and Costa 2012 Linear Regression Model (LRM) Thickness (or mass per unit area and density) Distance from source Requires widely dispersed field data and minor data prep.

The proposed distribution, which under certain conditions also arises from a queuing theory setup, is simple and extremely flexible in its shape and modality and it can model under-, equi- and over- dispersed count data.