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The time-dependent dynamic modeling methodology provides a cost-effective solution to keep track of the physical dimensions and changes of a moving object over time.
Therefore, for designers, this modeling methodology provides better, accurate and fast power estimation, at the early stage of the VLSI design.
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A unique purposely-designed 3D model simulation methodology provides a good understanding of the void nucleation and growth behavior.
This sequential methodology provides models for alternative mobility patterns while still maintaining the existing activities system because trip time remains constant or decreases in each case.
The ISSAF methodology provides a framework able to model the internal control requirements for information security and aims to assess the security of networks, systems, and applications.
The reported experimental results and the modeling methodology thus provide an in-depth understanding of the size effect in microscale plastic deformation.
The proposed methodology provides a reduced state-space model derived from a fully coupled vibro-acoustic finite element model.
Our methodology provides a comprehensive framework for testing quantitative models of patterning, growth and morphogenetic mechanisms in Tribolium and other arthropod species.
The Bayesian inference methodology provides a quantitative measure as to the probability of the various models given the available clinical data.
The Bayesian inference methodology provides a quantitative measure as to the probability of the various models that we have developed given the available literature data.
This methodology provides a maximum likelihood estimator of the attributable fraction from the logistic model.
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