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Using a detection difficulty metric, we found that model shape was consistently a significant predictor of model detection difficulty.
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In this regard, a Skin Model Shape is a specific outcome of the conceptual Skin Model and comprises deviations from manufacturing and assembly.
(Furthermore, ignoring the treatment effects in terms of shape, i.e. assuming a constant HR, implies that the uncertainty in model shape is not captured with the meta-analysis models).
The model shapes are given for some of the square plates with three kinds of thickness variations.
The process for generating Skin Model Shapes is split into a prediction and an observation stage with respect to the available information and knowledge about expected geometric deviations.
In different computer models, shape is represented using different methodologies, to varying degrees of precision.
As more data come in from the camera, the model's shape is updated.
A model's shape is defined by the upper faces of the convex hull of these heights.
Additionally, turbine design with an Elliptical blade shape was modelled.
The shape was modeled as reflecting serial filters with low and high pass characteristics [ 2].
Modelling leaf shape is a helpful tool for designing optimal plant shape and visualizing plant growth.
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