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Filtering by: Creator Emmott, Andrew Remove constraint Creator: Emmott, Andrew Creator Zemicheal, Tadesse H. Remove constraint Creator: Zemicheal, Tadesse H. Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    . Among them, I would like to give my especial thank Amran Siddique, Si Liu, Michael Slater, Andrew