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It is observed that the results obtained using precise interference model are considerably better than that obtained by using the Gaussian model.
It is of interest to note that the estimates of the wall shear stress and resistance to flow of the two-fluid Casson model are considerably lower than those of the two-fluid Herschel-Bulkley model.
It is found that the plug flow velocity and velocity distribution of the two-fluid Casson model are considerably higher than those of the two-fluid Herschel-Bulkley model.
It is also worthy to note that the estimates of the percentage of increase in the wall shear stress and the percentage of increase in the resistance to flow of the two-fluid Casson model are considerably lower than those of the two-fluid Herschel-Bulkley model.
The results obtained from this model are considerably worse than for the gene model, indicating that the incorporation of prior odds of pathogenicity for individual genes has a major impact on predictive accuracy.
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However, the resulting model is considerably harder to solve than the original linear program.
This model was considerably accurate in predicting experimental data of dynamic viscosity as R-squared and average absolute relative deviation (AARD %) were respectively 0.9999 and 0.0502.
Cross-validation tests showed that the prediction accuracy of the model was considerably high with 5.0 9.4% deviation from the experimental data.
The analysis in the study substantiates that performance of the proposed hybridized model is considerably superior to that of conventional and established solar wind based hybrid technologies.
The ATM test model is considerably simpler because it can omit many classes and attributes that are not needed for testing.
On the other hand, the proposed model is considerably simpler than most others already proposed, since it utilizes a continuously stirred tank reactor approach for mass balances.
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