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While computational methods have advanced significantly, relatively few studies have directly compared model predictions to experimental data.
While computational imaging encompasses a wide range of imaging modalities and applications, computational cameras seek to overcome the limits of the traditional camera and impact all fields that use the camera as a source of information.
While computational cameras have been shown to enable new imaging functionalities and achieve high performance-to-complexity ratios, it is not known whether computational imaging can be used to break fundamental limits of imaging.
While computational domains have started to embrace this technology through provenance-enabled execution middlewares, traditionally non-computational disciplines, such as medical research, that do not rely on a single software platform, are still struggling with its adoption.
While computational analysis has become an established part of biomedical engineering, the majority of work uses a single or small set of bone models, with a single implant size, due to the constraints of time and data availability.
While computational fluid dynamic (CFD) codes coupled to computational structural mechanics (CSM) codes can provide a wealth of information regarding flow patterns, there should be some skepticism in whether or not they are the only means of achieving the desired solution.
Similar(12)
Understandably so, but the tech under the hood has been available as open-source for a while and computational computer graphic geeks largely couldn't figure out what all the hubbub was about.
Understandably so, but the tech under the hood has been available as open-source for a while and computational computer graphic geeks largely couldn't figure out what all the hubbub was about.
The constrained LS algorithm obtains good performance while keeps the computational complexity low, and the convergence speed is fast.
Heuristic algorithms are popular since they can retain as many informative SNPs as possible while largely reducing computational complexity.
Powerful strategies for improving spatiotemporal accuracy while preserving computational efficiency.
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