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Filtering by: Creator Pedersen, Nels David Remove constraint Creator: Pedersen, Nels David Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

  • Fabrication and characterization of thin-film transistor materials and devices

    Creator:
    Hong, David
    Abstract:
    A class of inorganic thin-film transistor (TFT) semiconductor materials has emerged involving oxides composed of post-transitional cations with (n-1)d¹⁰ns⁰ (n≥4) electronic configurations. This thesis is devoted to the pursuit of topics involving the development of these materials for TFT applications: Deposition of zinc oxide and zinc tin oxide semiconductor layers...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF David Hong for the degree of

  • Prediction of gene transcription start sites and initiation patterns from DNA sequence content

    Creator:
    Morton, Taj H.
    Abstract:
    The computational identification of gene Transcription Start Sites (TSSs) can provide insights into the regulation and function of genes without performing expensive experiments, particularly in organisms with incomplete annotations. High-resolution general-purpose TSS prediction remains a challenging problem, with little recent progress on the identification and differentiation of TSSs which are...
    Resource Type:
    Masters Thesis
    Full Text:
    . I would also like to thank my committee for their time and guidance: Dr. David Hendrix and Dr

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    to build deep convolutional networks. We treat convolution ker- nels as nonlinear functions of the

  • Pulsed ultra-wideband: transmission, detection, and performance

    Creator:
    Zhao, Shiwei
    Abstract:
    Ultra-wideband (UWB) communication has emerged as a very promising technology for short-range wireless applications, including high-speed multimedia transmissions and sensor networks. UWB system designs involve many different aspects covering analog and digital processing, channel estimation and modeling, and modulation and demodulation. Although UWB still faces many challenges, significant progress has...
    Resource Type:
    Dissertation
    Full Text:
    committee, Prof. David McIntyre, Prof. Larry Marple, Prof. Mario E. Magaña, and Prof. Luca Lucchese. I

  • Multi-antenna OFDM systems in the presence of phase noise and doubly-selective fading

    Creator:
    Zhang, Yu
    Abstract:
    Orthogonal frequency division multiplexing (OFDM), which has been very attractive for future high rate wireless communications, is very robust to channel multipath fading effect while providing high transmission data rate with high spectral efficiency. Multiple antennas can be combined with OFDM to increase diversity gain and to improve spectral efficiency...
    Resource Type:
    Dissertation
    Full Text:
    discussions and accessibility. Special thanks are also given to Dr. David S. Birkes from the Department of

  • Version Control Systems: An Information Foraging Perspective

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Software history and version control systems (VCS) are an important source of information for developers. This entails the need for a principled understanding of developers’ information seeking in VCS, both for improving existing tools as well as understanding requirements for new tools. However, it is only recently that researchers have...
    Resource Type:
    Masters Thesis
    Full Text:
    . Thank you Dr. Anita Sarma, Dr. Eric Walkingshaw, Dr. Cindy Grimm and Dr. David Kling. Before joining

  • Information theoretic approach to quantization and classification for signal processing, communications, and machine learning applications

    Creator:
    Thuan Nguyen D.
    Abstract:
    There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
    Resource Type:
    Dissertation

  • Multi-channel Stochastic Resource Allocation and Dynamic Access Scheduling

    Creator:
    Wang, Qiwei
    Abstract:
    Modern communication systems often have the ability to transmit signals on multiple communication mediums (e.g., RF, visible light) or interfaces (e.g., MAC layer protocols) at the same time. While each channel has different characteristics, a centralized controller with channel condition information will be able to schedule the resource allocated to...
    Resource Type:
    Dissertation
    Full Text:
    chan- nels to mitigate jamming and eavesdropping attacks. The proposed approaches combine elements

  • Secrecy of massive MIMO systems under antenna failure

    Creator:
    Assiri, Mohammad
    Abstract:
    As the fifth generation of mobile communication systems (5G) is being deployed, massive multiple-input multiple-output (MIMO) serves as one of its enabling technologies where reliable and ultra low latency communications are achieved while being power and spectrum efficient. This thesis studies the security aspect of massive MIMO system from the...
    Resource Type:
    Dissertation