College of Engineering

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  • Yang, Alan (2018-05)
    Many modern hardware systems are equipped with sensors which record time-series diagnostic data. These sensors enable data-driven failure prediction that can reduce the need for component redundancy and lengthen lifetime ...

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  • Xu, Ke (2018-05)
    This thesis proposes a convolutional neural network-based approach for labeling art paintings by their author and style. Our Artist1000 dataset consists of 1000 raw painting images for each of 5 prolific artists. Our ...

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  • Xiong, Zhihan (2018-05)
    Although Deep Neural Networks (DNNs) have state-of-the-art performance in various machine learning tasks, in recent years, they are found to be vulnerable to so-called adversarial examples Specifically, take x is an ...

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  • Weinberg, Jeffrey (2018-05)
    Fleets of electric vehicles have the potential to be used as traffic and electric grid resources in cities with proper management. This thesis models an electric vehicle battery and a bidirectional charger with real and ...

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  • Wasowicz, Alec (2018-05)
    Increasing the utility of integrated ring oscillators requires that several sources of error be addressed. These include temperature, voltage, and process variations. A solution to these would allow for higher performance ...

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