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The MDOF models are automatically generated from the GIS data.
Finite element models are automatically generated based on the design.
The resulting 3D thermal and geometrical point cloud models are automatically superimposed, forming 3D spatio-thermal point cloud models.
In current study, the structural models are automatically developed by assuming that all buildings comply with seismic design codes.
Then the changes between two different versions of UML models are automatically identified according to a change taxonomy.
Then the reduced-order models of the large-scale parametric models are automatically obtained using a posteriori output error bounds for the reduced-order models.
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In line with the DevOps principles of rapid and continuous deployment, we require that CAMEL application models be automatically deployable.
Best fit lines representing the Zipf and Zipf-Madelbrot models were automatically generated.
The set of candidate models was automatically generated and fitted to data given in Hao et al. (2007).
Three-dimensional surface models were automatically derived from both the CT and PET images.
In short, the resultant models were automatically biased towards a priori expectations.
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