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A second-degree polynomial model proved as appropriate describing the legibility in dependence of luminance contrast.
Response surfaces for the parameters were generated using a second-degree polynomial.
Further, it is observed that a second-degree polynomial is inadequate to relate the pressure drop and flow rate.
A second-degree polynomial model and logarithmic model proved as appropriate describing the legibility in dependence of color difference.
A second-degree polynomial model is developed which accounts for an excellent proportion of the explained variation (R2= 97.7%).
A second-degree polynomial model was adjusted for each dependent variable polyphenol oxidase activity and peroxidase activity.
Similar(15)
A second degree polynomial was used to represent a curved surface which fits the experimental data.
Second degree polynomial regression models were fitted for accurately predicting the recoveries of compounds.
A second degree polynomial was used to analyze the total intrusion volumes.
For a faster calculation some second degree polynomial equations are proposed, for finding thermal conductivity, thermal diffusivity and kinematic viscosity as a temperature function.
A second degree polynomial and a set of sinusoidal functions are taken as basis functions to represent form and waviness respectively.
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