Sentence examples for high degree of randomness from inspiring English sources

These slide lenses are present in different levels in association with either the sandstone aprons or the channel-fills showing high degree of randomness in their order of appearance.

Machine vision is an invaluable component of automated manufacturing in situations where a high degree of randomness in the product, or the process, prevents the construction of a suitably structured environment for traditional automation or robotics.

This approach models the system as a combination of SEA subsystems and FE components; it is assumed that the FE components have fully deterministic properties, while the SEA subsystems have a high degree of randomness.

The hybrid Finite Element/Statistical energy analysis approach is established on the assumption that the FE components have fully deterministic properties, while the SEA subsystems have a high degree of randomness.

Dirty data, incomplete entries on databases or data with a high degree of randomness may result in AI algorithms yielding incorrect results.

There has always been some variance in the 25 x 4 numbers because there is a high degree of randomness in the annual performance data.

The evolution from a phase separated mixture to a single phase but still crystallizable copolymer, to finally a non-crystallizable copolymer with a higher degree of randomness was studied.

The benefit of the two-point crossover is its ability of introducing a higher degree of randomness into the selection of genetic material [28].

Also, the PPP-based models are expected to provide a better fit for analyzing denser HetNet deployments due to higher degree of randomness in small-cell deployments [2].

However the EZ-Tn5 system possesses two important advantages, i) a high transposition frequency (e.g., reportedly ∼100-fold higher than phage Mu-based systems) and ii) the highest degree of "randomness" for insertions among commercially-available transposition systems, including phage Mu (www.epibio.com).

Specifically, we hypothesized that genomic (and epigenomic) alterations would lead to disruptions in the dynamics of information flow on protein interaction networks, and that this disruption would manifest itself as a higher degree of randomness in the patterns of local gene expression correlations.