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Filtering by: Creator Obermeyer, Angela L. Remove constraint Creator: Obermeyer, Angela L. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Process segmentation and modelling applied to time series featuring the response of biological materials to toxic agents

    Creator:
    Teng, Angela
    Abstract:
    The detection of biological and chemical toxins has become one of the main concerns in environmental and military fields. In this framework, the department of Microbiology and Biochemistry at Oregon State University has discovered that fish living cells are promising indicators of the presence of a wide range of toxins....
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Angela Teng for the degree of Master of

  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    ,M,L) = (8, 4, 4). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 LIST OF TABLES

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    together. Without equity, there can be neither progress nor prosperity.” [6] —Angela Glover Blackwell

  • 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:
    level l is concatenated with the upsampled feature from level l+ 1, which contains feature with a

  • Error control techniques for the Z-channel

    Creator:
    Oprisan, Paul
    Abstract:
    The asymmetric nature of bit errors in several practical applications provides grounds for efficient error control techniques. The Z-channel model and special classes of codes like asymmetric error detection codes and t-asymmetric error correcting/d-asymmetric error detecting codes can be successfully used in ARQ protocols for feedback error control enhancement. This...
    Resource Type:
    Dissertation
    Full Text:
    made as a graduate student, a special mention is due to Corina Constantinescu, Ovidiu lancu and Angela

  • Web-based Deep Segmentation of Building Structure

    Creator:
    Chen, Zehuan
    Abstract:
    Deep learning and neural network has been widely used in research, deep learning has empowered many tasks such as point clouds segmentation and shape recognition. One of the main advantages of deep interaction point cloud segmentation is that it allows the feature extraction can be learned through neural network based...
    Resource Type:
    Masters Thesis
    Full Text:
    conversion from grayscale is to use the lightness L∗. in general, similar principles apply for this question

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    70 Number of training steps taken (experience) in million 0.2 0.4 0.6 0.8 1.0 SP L Performance

  • Hierarchical graphical models for activity recognition in videos

    Creator:
    Amer, Mohamed R.
    Abstract:
    This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...
    Resource Type:
    Dissertation
    Full Text:
    i, l; indices of the product nodes are j, k; and i+ denotes the set of children of i. An edge (i, j

  • 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:
    define, for the sets L ⊂ Z+ of numbered loci, S ⊂ Z+ of numbered SNPs, and R ⊂ S of numbered rSNPs. Then

  • A peer-to-peer communication system based on Walsh-Hadamard codes for fading environments

    Creator:
    Moranvil, William
    Abstract:
    High data rate transmission has become an important challenge in today digital communication systems. One of the most difficult problems faced by engineers is to transmit data at sufficiently high rates through fading channels. This is the main motivation for the research presented herein. In this thesis, we investigate a...
    Resource Type:
    Masters Thesis
    Full Text:
    thankful to Angela Teng, Daniel Hank and to my former classmates Riad Lemahchheche and Mathieu Labbé for