This concept has been revised and developed by a few engineers in the field of computer vision to make their active contour models have a prior shape information in their energy equations, more robust characteristics, adaptive abilities in the elastic parameters, and so on.
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Based on statistical analysis, the results indicate that neural network equation, which is more robust in nature, predicts better than the PLS equation and RA equation based methods.
In this paper, we improve the MPFA discretization techniques for general quadrilateral grids, such that the above difficulties are handled to give a more robust discretization of the governing equations for fluid flow in porous media.
This study supports the necessity for the use of more robust approaches such as structural equation modeling in cross-cultural research.
For the cofactor, Vmax and Km values were fitted to a MM equation to get more robust fits, and the Hill coefficients were obtained using nonlinear regression with the Hill equation (Eq. 2).
Numerical results demonstrate that the solution to the filtered PN equations are (i) more robust and less oscillatory than standard PN solutions and (ii) more accurate than discrete ordinates solutions of comparable order.
This is most likely because instead of using finite difference approximation of the gradient in the optimization problem, we utilize sensitivity equations, yielding a more robust calculation of the gradient, which also seems to influence the precision of parameter estimates.
Because some congeners had a substantial percentage (> 25%) of serum concentrations below the LOD, we conducted a sensitivity analysis using generalized estimating equations, which are more robust to departures from normality.
Yet others argue that the conventional exponential function is a more robust predictor of f (U) than equation (1) because the conventional exponential function has two, as opposed to three, parameters [15], [33].
