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The results are an encouraging demonstration of the fitness of such models for predictive modelling.
Calibrating the ensemble of geophysically constrained models would help produce a suite of realistic flow models for predictive purposes at the site.
The research should be performed in relevant disposal environments with the ultimate objective to quantify those effects that need to be included in models for predictive and safety assessment purposes.
Original computation techniques and an integrated set of models for predictive and parametric thermal hydraulic simulations of the superconducting magnets of magnetic fusion reactor were developed and implemented in computer codes Vincenta/Venecia.
While this review focuses on incorporating spatial dependence into statistical models for predictive purposes, explicitly including spatial dependence in models can also aid in clarifying the effect of different explanatory variables, thereby improving inferences.
The publicly available systematically labeled data in XMetDB will be a big step forward towards improved models for predictive metabolism.
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Ongoing work on this topic includes developing a Kalman Filter based body movement prediction model for predictive on-body packet routing with lower delay objectives.
In this way, the confidence in the model for predictive applications, such as optimization and scale-up of chemical engineering processes, is further enhanced.
A model for predictive measurements of advertising effectiveness.
In chapter 5, A. G. Mercader and E. A. Castro describe the use of partial-order ranking and linear modeling for predictive QSAR/QSPR studies.
However, systematically derived estimates should be used if developing this model for predictive purposes.
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