Sentence examples for high value of the coefficient from inspiring English sources

High value of the coefficient yields a high diffusivity for the corresponding pixel in the image which leads to blurring effect.

The ANOVA indicates that the second-order polynomial model Equation 4 is highly significant and adequate to represent the actual relationship between the response (percent removal efficiency) and variables, with P values (0.0000) and a high value of the coefficient of determination (99.7%).

The ANOVA thus indicated that the second-order polynomial model for Eq. 4 was highly significant and adequate to represent the actual relationship between the response (SUC mg/g) and variables, with P < 0.000 and a high value of the coefficient of determination (97.7 %).

The high value of the coefficient of determination (r = 0.98), and RMSE = 0.002431, indicate that the ANFIS model is an excellent fit for the measured data.

Glycemic variability is even more difficult to define; a relatively high value of the coefficient of variation of >20% has been suggested to define high variability, because it is associated with worse outcomes than values <20%.

The high quality of fluidisation was also corroborated with high values of the coefficient of determination R2 (0·997) for the drying curves during the period of constant drying rate.

High values of the coefficient of determination (R2) and small root mean squared error (RMSE) in the training (0.954; 0.17) and validation (0.925; 0.14) sets indicated high generalization and predictivity of the developed model.

High values of the coefficient of determination (R > 0.99) were obtained for all cases over the temperature range from 45 to 150°C.

Equation 15 is the response surface function for time constant two, τ 2. A power transformation gave the highest value of the coefficient of variation when the model predictions are cross-plotted against actual values.

For sufficiently high values of the coefficients, the elastic foundation may suppress the softening behaviour resulting in a hardening behaviour of the non-linearity.

A simple solution is to select the basis that gives the smallest norm; however, this approach has the drawback of being too sensitive toward high values of the coefficients (e.g., due to different dynamic ranges in the transform domains).