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Filtering by: Creator Kamvar, Z. N. Remove constraint Creator: Kamvar, Z. N. Language English [eng] Remove constraint Language: English [eng] Resource Type Masters Thesis Remove constraint Resource Type: Masters Thesis

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  • Assays to determine tolerance of cherry rootstock to bacterial canker caused by Pseudomonas syringae pv. syringae

    Creator:
    Krzesinska, Elzbieta Z.
    Abstract:
    Bacterial canker, caused by Pseudomonas syringae pv. syringae is recognized as one of the greatest limiting factors in cherry production in Oregon. Disease incidence may be decreased when susceptible cultivars are high-grafted onto tolerant/resistant rootstocks. This research was begun to develop a rapid screening method which could be used to...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Elzbieta Z. Krzesinska for the

  • Active learning of constraints for semi-supervised clustering

    Creator:
    Xiong, Sicheng
    Abstract:
    Semi-supervised clustering aims to improve clustering performance by considering user supervision in the form of pairwise constraints. In this paper, we study the active learning problem of selecting pairwise must-link and cannot-link constraints for semisupervised clustering. We consider active learning in an iterative manner where in each iteration queries are...
    Resource Type:
    Masters Thesis
    Full Text:
    Constraints for Semi-Supervised Clustering Abstract approved: Xiaoli Z. Fern Semi-supervised clustering

  • Removal of cryoprotectant with the use of a microseparation device

    Creator:
    Lusianti, Ratih E.
    Abstract:
    Cryoprotectants (CPAs) such as glycerol and dimethyl sulfoxide (DMSO) are commonly used during cryopreservation of cell based therapeutics. Although these additives are beneficial during freezing, it is often desirable to remove them before infusion into a patient. Currently, the most common method for CPA removal is by centrifugation. This method...
    Resource Type:
    Masters Thesis
    Full Text:
    . Abstract approved:_________________________________________________________________ Adam Z

  • Event detection with forward-backward recurrent neural networks

    Creator:
    Ghaeini, Mohammad Reza
    Abstract:
    Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
    Resource Type:
    Masters Thesis
    Full Text:
    Forward-Backward Recurrent Neural Networks Abstract approved: Xiaoli Z. Fern Automatic event extraction

  • Experimental and Mathematical Approaches for Overcoming Mass and Heat Transfer Limitations in Cryopreservation of Vertebral Bodies

    Creator:
    Forcier, Ryan J.
    Abstract:
    Successful cryopreservation of bone marrow in situ within vertebral bodies offers an opportunity for quick and convenient storage of a significant quantity of bone marrow stem cells, including hematopoietic- and mesenchymal-type stem cells. However, cryopreservation of more complex large tissues and organs, such as the vertebral body (VB), remains problematic....
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Adam Z. Higgins Successful cryopreservation of bone marrow in situ within vertebral

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Simultaneous Segmentation and Classification of Bird Song Using CNN Abstract approved: Xiaoli Z

  • Spray drying for erythrocyte preservation at room temperature

    Creator:
    Leu, Hsuan-Yu
    Abstract:
    Spray drying has been widely used in food science for long-term storage of products such as powdered milk, and it has recently been used for preservation of more temperature sensitive products such as human blood plasma and single-cell organisms. However, there are no previous reports of successful spray drying of...
    Resource Type:
    Masters Thesis
    Full Text:
    Temperature Abstract approved: Adam Z. Higgins Spray drying has been widely used in food science for

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Xiaoli Z. Fern Bioacoustics analysis can be used to conduct environmental monitoring

  • SpaceLab, an N-Body Particle-Particle Ballistic Collision Simulation Tool with Applications in Celestial Body Dynamics

    Creator:
    Guidos, Job
    Abstract:
    This thesis conveys the key technical features and scientific applications of a particle-particle ballistic simulation tool (SpaceLab) as well as a high level overview of experiments it was designed for and executed on. SpaceLab simulates spherical particle interactions under any combination of self-gravity, sliding friction, rolling friction, Van-Der-Waals (VDW) cohesion...
    Resource Type:
    Masters Thesis
    Full Text:
    N-Body Particle-Particle Ballistic Collision Simulation Tool with Applications in Celestial Body

  • Open Set Learning with Counterfactual Images

    Creator:
    Neal, Lawrence W.
    Abstract:
    In open set recognition, a classifier must label instances of known classes while detecting instances of unknown classes not encountered during training. To detect unknown classes while still generalizing to new instances of existing classes, this thesis introduces a dataset augmentation technique called counterfactual image generation. This approach, based on...
    Resource Type:
    Masters Thesis
    Full Text:
    adversarial neural net- work. Concretely, suppose: • The state of affairs can be encoded as a vector z ∈ Rn