Sentence examples for frameworks have been shown from inspiring English sources
However, most of these spectrum management frameworks have been shown to be awkward to solve non-cooperative spectrum sharing.
Because both smooth and sparse regularization frameworks have been shown to improve the prediction power of unregularized models [1], [3], [8], it is likely that combining features of both methods can further improve the quality of the estimates.
Fusion frameworks have been shown to improve prediction accuracy in a wide range of fields including biometric identity confirmation [24], [25], [26], surface-to-air defense [27], robot navigation [28], [29], [30], [31], image segmentation [32], and diagnosis of disease [33], [34].
As we have mentioned, ensemble-based inference frameworks have been shown to operate effectively in a wide variety of statistical contexts.
These traditional systems, as well as other local-level management frameworks, have been shown to rely on resource users' knowledge and expertise, which in effect amount to an adaptive management approach (Berkes and others 2000; Dietz and others 2003).
On the other hand, the existence of elements of this framework has been shown to have positive impacts on strategy achievement.
Next, the advantage of the new compact scheme, on a parallel framework, has been shown by solving three-dimensional unsteady Navier Stokes equations for flow past a cone-cylinder configuration at a Mach number of 4.
On one hand, the effect of inadequate or missing elements of the framework has been shown to result in negative impacts on cost, productivity, quality, business outcomes and ultimately strategy achievement.
