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Partial differential equation-based (PDE-based) methods are extensively used in image segmentation, especially in contour models.
The optimal and heuristic methods are extensively evaluated, using a factorial experimental design that includes 65 610 problem instances.
Time of flight based methods are extensively used for detecting, locating and sizing faults in ultrasonic non-destructive testing and evaluation.
As mentioned before, polynomial expansion methods are extensively used in many mathematical and engineering fields to yield meaningful results for both numerical and analytical analysis.
The methods are extensively tested and validated on a range of structures, from 'simple' single-rod cases to more complex, actively bent, grid shell frameworks.
Deep learning methods are extensively applied to various fields of science and engineering such as speech recognition, image classifications, and learning methods in language processing.
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During the past three decades the component mode synthesis methods were extensively presented in the literature.
The methods were extensively tested using synthetic images as well as real images and conclusions are drawn from the results.
CuO/CeO2 catalysts prepared by co-precipitation, deposition-precipitation and impregnation methods were extensively investigated for CO oxidation reaction.
For years, these methods were extensively used in the field of biomanufacturing (especially for bone and tissue engineering) to produce sophisticated and tailor-made scaffolds from patient scans.
The class of contractive mappings via iteration methods is extensively studied in this regard.
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