Sentence examples for based model to predict from inspiring English sources

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This paper develops an application of a wavelet neural network (WNN) based model to predict the performance of a shower cooling tower (SCT).

A physically based model to predict the increment of hardness and grain refinement of pure metals due to severe plastic deformation by high-pressure torsion (HPT) is proposed.

In this study, an effort has been made to assess the complex hydrodynamics of high-pressure TBR through the development of a Computational Fluid Dynamics (CFD) based model to predict pressure drop and liquid saturation.

In the present paper we report a study of the fatigue endurance of AerMet®100 steel components repaired by the laser cladding process, and a fracture mechanics based model to predict the fatigue endurance of repaired components.

Consequently, our findings reveal that the IFN-score based model to predict the clinical outcome of RTX treatment can be optimized by implementation of prednisone use.

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In order to estimate the accurate strength and the failure mode of tubular connections, this paper proposes a new fracture model by extending the existing damage-mechanics based models to predict the ductile fracture failure in tubular connections.

Apart from these empirical model, some researchers suggested numerical methods and entropy based models to predict it.

With other scoring systems frequently employed in critical care areas, research describing the appropriateness of POSSUM based models to predict mortality in areas delivering higher dependency care is sparse.

Based on a generated database, general unified expressions for determining both CODs and CSDs at various crack densities were developed and used with a multiscale damage-based model to predict stiffness degradation and ply crack evolution for cross-ply, angle-ply and quasi-isotropic laminates.

Application of our hydrodynamic-based model to predict the observed vegetation distribution in an Australian subtropical wetland with man-made flow restrictions produced remarkably good results.

The team then fed the data into a computer-based model to predict figures for those living with dementia in England and Wales in the years to come.

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