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Filtering by: Creator Barsamian, Adam L. Remove constraint Creator: Barsamian, Adam L. Committee Member Lee, Stefan Remove constraint Committee Member: Lee, Stefan Degree Name Honors Bachelor of Science (H.B.S.) Remove constraint Degree Name: Honors Bachelor of Science (H.B.S.)

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  • Real-time Speech Workload Estimation

    Creator:
    Fortune, Julian D.
    Abstract:
    Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the system’s demands and interaction modality in response to changes in operator workload state may increase performance by avoiding undesirable...
    Resource Type:
    Honors College Thesis
    Full Text:
    layer consisted of a single neuron, corresponding to the speech workload estimate. The ADAM optimizer

  • Deep Learning Temporal Logic Specifications

    Creator:
    Hekkala, Claire M.
    Abstract:
    This thesis seeks to explain a new method of extracting temporal logic formulas from time series data using machine learning. Two strategies were followed during the development of this research: first, a generative adversarial network was combined with already-existing temporal logic extraction code by Belta. This was achieved by injecting...
    Resource Type:
    Honors College Thesis
    Full Text:
    () model.add(InternalFormula(input_shape=(2,))) model.add(Robust()) opt = Adam(lr = 0.0004

  • Analysis of Convolutional Neural Network Image Pre-processing Methods

    Creator:
    Jacobsen, Matthew
    Abstract:
    Oceanic plankton have both a large impact on our oceans health and atmo- spheric balance of Co2. The overall health of planktonic life is determined by many physical, chemical, and ecological factors, that drive taxonomic abundances and the relative amount of non-living biomass called detritus. Recent advances in microscopic imaging...
    Resource Type:
    Honors College Thesis
    Full Text:
    3.2 Model 11 3.2.1 AlexNet 11 3.2.2 Adam 12 3.2.3 Cross-entropy loss 13 3.2.4 Other hyper