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First, the decision-making system generated at the model design stage outperforms the system generated at the model validation stage, which shows over-learning at the model level.
Secondly, for the decision-making system generated either at the model design stage or at the model validation stage, the investment performance in the training period is much better than that in the testing period, exhibiting over-learning at the system level.
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Many systems make it possible to associate constraints to models at design stage but very few enable their association to code at implementation stage.
This system, named PIRO (predisposition, infection, response, and organ dysfunction), is a model designed to stage as well as monitor the host response to infection on the basis of factors believed to be pertinent to outcomes.
This study proposes an IFC-based framework within an integrated BIM and sustainable data model for the design stage of the building project life cycle.
Since the system provides the designer immediately with various detail levels of the CAD model in any design stage, the design process is expected to be accelerated.
Hence, it is essential to analyze loading behavior through quantitative model during filter design stage.
Knowledge of the data analysis model at the design stage is beneficial for collecting patient data for parameter estimation.
The federated model emerges as the most practical approach to deal with the various models, especially during design stage, construction coordination and beyond.
It introduces the draft CFD modeling at the concept stage, and focuses on the detailed CFD modeling at the design stage.
This paper proposes a new feature-based multiresolution modeling approach that can provide multiresolution representation of dynamically changing CAD models of intermediate design stage.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com