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Filtering by: Creator Southall, Brandon L. Remove constraint Creator: Southall, Brandon L. Committee Member Kim, Jinsub Remove constraint Committee Member: Kim, Jinsub Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • Risk and Uncertainty Quantification Methods in Electrical Power Systems

    Creator:
    Johnson, Brandon S.
    Abstract:
    Load flow studies are one of the most essential engineering applications for grid operators because they provide a clear picture of the operating conditions of the power system. Traditionally, the load flow problem is assumed to be deterministic; that is, the system variables contain no randomness. Unfortunately, this assumption is...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Brandon S. Johnson

  • Regularization-Based Data Integration and Its Application to Genome-Wide Association Studies

    Creator:
    Li, Kai
    Abstract:
    In genome-wide association studies, it is often challenging to have consistent findings from independent studies. This "lack of reproducibility" issue is partially caused by the relatively small sample size compared to the number of genetic markers in every single study. Therefore, researchers have developed statistical methods to integrate multiple studies...
    Resource Type:
    Dissertation
    Full Text:
    as follows: min β0,β1,··· ,βp n∑ i=1 L(β0 + β1Xi1 + · · ·+ βpXip, Yi) + Pλ(β1, · · · , βp), (1.3

  • Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

    Creator:
    Rajabi, Arezoo
    Abstract:
    Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
    Resource Type:
    Dissertation
    Full Text:
    precisely, it tends to minimize L∞. Therefore, it uses the sign of gradient of loss function as follows

  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
    Resource Type:
    Dissertation