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The fractional polynomial modeling framework aims to capture non-linear relationship between a predictor and a response variable.
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We view these developments as essential components of an emerging 'respectful modeling' framework which has two key aims: (i) respecting the models themselves and facilitating the reproduction and update of modeling results by other scientists, and (ii) respecting the predictions of the models and rigorously quantifying the confidence associated with the modeling results.
The proposed framework aims to provide a reliable basis for building new TS/TGI mechanistic-based models in light of enriched data from future-designed trials.
This model or framework aims to address the key limitations, uncertainties, paradoxes, and fallacies pertaining to existing models of sustainable urban form with support of ICT of the new wave of computing and the underlying big data and context aware computing technologies and their advanced applications.
Eclipse modeling framework.
In order to cope with outdoor environments, our framework aims at developing a novel Color-based Independent Comodelnt Analysis (CICA) model for motion detection in a color-image sequence.
The framework aims to protect the rights of minorities.
Figure 2 Integrated modeling framework.
BFRM is a Bayesian modeling framework.
By understanding biological systems as degenerate, researchers can develop a framework aimed at modelling the coevolutionary and codevelopmental relationship between organisms and their environment.
We do not implement intervention strategies because our aim is to explore the effect of two different modeling frameworks in shaping the epidemics, assessing analogies and differences induced by each model's assumptions.
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