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Filtering by: Creator Gleichsner, Jean A. Remove constraint Creator: Gleichsner, Jean A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation
    Full Text:
    Assessment Abstract approved: Stephen A. Ramsey Ph.D. candidate Qi Wei’s thesis consists of two projects

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    : Rebecca A. Hutchinson Ecological domains seeking to understand the environment and the behavior of

  • Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

    Creator:
    Ozmen, Muslum Ozgur
    Abstract:
    Internet of Things (IoT) is an integral part of application domains such as smart-home, digital healthcare, smart grid systems and vehicular networks. Various standard public key cryptography techniques (e.g., key exchange, public key encryption, digital signature) are available to provide fundamental security services for IoTs. However, despite their pervasiveness and...
    Resource Type:
    Masters Thesis
    Full Text:
    Cryptography Frameworks for Emerging IoT Applications Abstract approved: Attila A. Yavuz Internet of Things

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Ramsey We describe a series of novel computational models, CERENKOV (Computational Elu- cidation of the

  • Location Privacy-Preserving Strategies for Secondary Spectrum Use

    Creator:
    Grissa, Mohamed
    Abstract:
    The scarcity of wireless spectrum resources and the overwhelming demand for wireless broadband resources have prompted industry, government agencies and academia within the wireless communities to develop and come up with effective solutions that can make additional spectrum available for broadband data. As part of these ongoing efforts, cognitive radio...
    Resource Type:
    Dissertation
    Full Text:
    emerged as an essential technology for enabling and promoting dynamic spectrum access and sharing, a

  • A Micro Scale Magnetic Particle Imaging System

    Creator:
    Lenox, Philip A.
    Abstract:
    Magnetic particle imaging (MPI) is a biomedical imaging technique which detects the presence of magnetic nanoparticles which have been introduced into the specimen prior to imaging. MPI has shown promise for real-time imaging with spatial resolution comparable to magnetic resonance imaging (MRI). MPI research has focused predominantly on the development...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: A Microscale Magnetic Particle Imaging System Abstract approved: Pallavi Dhagat Magnetic

  • Random dopants and low-frequency noise reduction in deep-submicron MOSFET technology

    Creator:
    Miller, Drake A.
    Abstract:
    The future of mixed-signal, memory, and microprocessor technologies are dependent on ever increasing analog and digital integration, higher cell densities, and demand for more processing power. As a result MOSFET device dimensions continue to shrink to meet these demands. A side effect of device scaling is increased variability at each...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Drake A. Miller for the degree of Doctor of Philosophy in

  • Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

    Creator:
    Lassetter, Austin R.
    Abstract:
    This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
    Resource Type:
    Masters Thesis
    Full Text:
    implements more precise aging and degradation models for power grid equipment for a more precise Contingency

  • Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

    Creator:
    Gaebele, Daniel T.
    Abstract:
    Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave

  • Incorporating and Learning Behavior Constraints for Sequential Decision Making

    Creator:
    Pinto, Jervis
    Abstract:
    Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...
    Resource Type:
    Dissertation
    Full Text:
    Constraints for Sequential Decision Making Abstract approved: Alan P. Fern Writing a program that performs