Sentence examples for based models to predict from inspiring English sources

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

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.

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.

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.

We used data from the training cohort to establish SVM-based models to predict the risk of postoperative distant organ metastasis that occurred within 5 years after surgery.

The objectives of this study are to evaluate the capability of ACG-PM, DCG-HCC and CRG-based models to predict healthcare costs and identify patients that will be high consumers and to analyse changes to predictive capacity when socio-economic variables are added.

The sensitivity analysis of the developed models has been conducted to determine the contributions of the parameters affecting Es and shows that N60 is the most influential parameter on the GMDH-based models to predict Es.