The receive operating characteristic (ROC) methodology is a computational methodology which has a very important connection to the neural network applied to classification applications[ 27].
RCR is computational methodology that uses a set of differentially measured biological entities (eg, mRNA or protein abundance) as input, and makes predictions about the identity of potential upstream controllers of the observed differential measurements (http://www.openbel.org).org
Another is computational psychiatry.
Having the problem defined, solution methodology is developed to tackle computational complexity of the problem.
A computational methodology is developed to address the solution of high-dimensional stochastic problems.
The computational methodology is based on the finite volume method using the SIMPLE algorithm.
A computational methodology is proposed for aerodynamic noise prediction of long-span bodies at low Mach numbers.
In our present research, a GIS based computational methodology is developed for calculating the distribution of ground movement and deformation at arbitrary surface points (Djamaluddin et al. 2012).
A computational methodology is proposed for CFD-based aerodynamic design to exploit a reduced order model as surrogate evaluator.
A computational methodology is developed with a line-element structural model that incorporates initial slackness of the flexible roof material.
