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Data Analytics Challenges in Biomedical Engineering

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Biomedical engineering applications are now generating data at a rate that is increasing even faster than Moore's Law, just as that Law has come to an end. Thus it is incumbent in those who design intelligent computing techniques to compensate for the bottleneck that results. This provides amazing challenges and opportunities for researchers in this fast-growing field.

    Original languageAmerican English
    JournalProceedings of the IEEE World Congress on Intelligent Control and Automation (2016, Guilin, China)
    StatePublished - Jun 1 2016

    Disciplines

    • Electrical and Computer Engineering
    • Numerical Analysis and Scientific Computing

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