Sentence examples for model covering the from inspiring English sources

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First-order predictive model covering the cutting speed of 15 60 m/min has been developed at 95% confidence interval.

Tidal simulations were performed with a nested model covering the Southern North Sea and Great Yarmouth zone (east coast of the UK).

Based on this recognised novelty, a dedicated steady-state thermal model covering the mass continuity, energy conservation and Darcy equations was established.

Consequently, a robust fatigue design model covering the influence of gaseous high pressure hydrogen is required to reduce weight and cost in automotive designs without compromising safety.

Replacing spheres by cubes yields a model covering the full composition range vA=0−1, but lacking convenient general analytical tractability.

In parallel, we apply a more general discrete numerical bundle model covering the cases of finite number of fibers and spatial variations of material properties.

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Following, future ηCE values are obtained after adjusting the reanalysis values according to the relative changes, estimated from the output of wave and storm surge simulations, forced by climate models covering the period 1980 2100.

Best feature: Funky, atypical helmet coverings Worst feature: The price Size: One size, adjustable from 52-58cm Available from Cyclechic Complies with EN1078, CPSC Abus Pedelec £69.99 Designed for e-bikers, hence the name, the Pedelec has the round (and arguably more flattering) shape of skate inspired models, covering the back of the head and temples, with the light airiness of sportier models.

This is achieved by comparing the results of in-situ x-ray radiographic experiments involving thin samples (as reported in the literature) to the results of 2D multi-scale dendrite needle network (DNN) modeling covering the essential experimental length scale.

The accuracy of classification and regression tasks based on data driven models, such as Neural Networks or Support Vector Machines, relies to a good extent on selecting proper data for designing these models, covering the whole input range in which they will be employed.

We will then examine a variety of approaches to learning models, covering the spectrum from unsupervised to supervised learning, as well as parametric versus non-parametric methods.

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