This chapter describes techniques for the refinement of analysis models towards platform-independent designs, by model transformation.
Friction stir processing is one of the most efficient techniques for microstructure refinement and has a potential for enhancing the deformation behavior of metallic materials at elevated temperature.
Furthermore, a hybrid clustering solution selection strategy (HCSS) is designed based on a proposed weighting function, which combines several feature selection techniques for the refinement of clustering solutions in the ensemble.
While statistical learning methods are commonly used to predict new annotations from biological data, effective tools are not currently available that apply these techniques for the refinement of existing gene set annotations.
Thus this research attempt provided an alternative welding technique for grain refinement of weldments.
In previous work we have described techniques for consistency checking, refinement, and translation between viewpoint specifications, in particular for LOTOS and Z/Object-Z.
Advanced numerical techniques for adaptive grid refinement and for treatment of grid cells that do not fit the irregular boundaries are implemented in order to achieve a fully automated grid construction for any impeller design, as well as to produce results of adequate precision and accuracy.
In this paper, we defined techniques for handling query refinements of assertion axioms in (mathcal {PR_{textit {ALC}}}), by employing the notion of contextual approximation and similarity relations, which exploited the presence of unknown and inconsistent information.
Standard data refinement techniques are adapted for classes, and process refinement techniques for capsules.
Borrelli, K. W., Cossins, B. & Guallar, V. Exploring Hierarchical Refinement Techniques for Induced Fit Docking with Protein and Ligand Flexibility.
Borrelli, K. W., Cossins, B. & Guallar, V. Exploring hierarchical refinement techniques for induced fit docking with protein and ligand flexibility.
