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The blob set is represented as a model by estimation of Gaussian mixture model (GMM).
This is represented as a model that incorporates three different levels for technology application, paradigm and generation.
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It's not surprising then, from the I-Ching's perspective, that anything in the dream of reality can be represented as a model of its binary constituents, in a string of 1s and 0s, processed by a computer.
The MBS model is represented as a database model in AMOS and the analysis is based on symbolic formulation of Kane's equations of motion.
The on/off model of transcription is represented as a Dizzy model and simulated using the Gillespie algorithm (see Materials and Methods).
A superstructure that embeds several candidate configurations is represented as a NLP model which is used to investigate how these ranges of target values affect the optimal number of stages, membrane areas, operating conditions, and total cost.
Thirdly, the high-order approximation is represented as a mechanical model system consisting of the spring, dashpot and mass elements, which is implemented into the finite element software ABAQUS by the user element subroutine.
Each alternative is represented as a Markov model with mutually exclusive states.
In many implementations of GS, the causal relationship between the phenotype and genotype is represented as a linear model or its extension, which is then used to infer the GEBV of an individual in a breeding population.
The fuzzy model is represented as a linear regression model whose parameters are functions of some of the process variables.
For the numerical analysis, the actual model is represented as a virtual computer model using CATIA software package and analysis is performed with the help of a finite volume method as a computational fluid dynamics (CFD) tool.
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