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In this work, we present new developments of our visualization tool CheS-Mapper (Chemical Space Mapper) [13], specifically aimed towards visual validation.
The visual validation approach can be re-iterated to take possible insights from the visualization steps into account for model re-building.
We call this approach visual validation.
Consequently, visual validation can support the researcher in deriving a mechanistic interpretation.
Additionally, visual validation can show the effect of different model parameters.
Visual validation describes the graphical inspection of (Q SAR model validation.
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The visual and validation results show that the median and anisotropic diffusion filter are able to remove the noise.
Therefore, regions of interest (ROIs) where drawn on several of the corresponding CT images for a visual inspection, validation, and stability of the HU numbers.
In this paper, ELDAMeth, a simulation-based methodology for DAS, which enables rapid prototyping based on visual programming, validation, and automatic code generation for JADE-based DAS, is presented.
Just like paper prototypes, digital prototypes can be used for both mental model mapping via user studies, design analysis, and decision making by a design team as well as for interaction design and visual design validation with users.
The paper is devoted to the new method of high-level scientific visualization, comprehensive visual analysis and model validation tools development using new version of client-server scientific visualization system SciVi as an example.
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