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Filtering by: Subject Libraries -- Quality control Remove constraint Subject: Libraries -- Quality control Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation
    Full Text:
    : Probabilistic Models for Quality Control in Environmental Sensor Networks Abstract approved: Thomas G

  • Statistics and metrics generator for web-based software installation

    Creator:
    Guruprasad, Arvind
    Abstract:
    Statistics and Metrics Generator (SMG), is a software tool that gathers, stores and reports performance and execution metrics for a web-based software installation process. The purpose of this project was to develop a software utility that provides feedback about software download and installation process efficiency. A web-based software installation is...
    Resource Type:
    Capstone Project
    Full Text:
    swifter problem resolution and increase product quality. The generator maintains data of appropriate

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    birders to eBird. Next, we study the problem of building a data quality control model to filter out the