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Filtering by: Subject Hydraulics -- Data processing Remove constraint Subject: Hydraulics -- Data processing Decade 2010-2019 Remove constraint Decade: 2010-2019 Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
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    monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without

  • Statistical analysis of RNA sequencing count data

    Creator:
    Mi, Gu
    Abstract:
    RNA-Sequencing (RNA-Seq) has rapidly become the de facto technique in transcriptome studies. However, established statistical methods for analyzing experimental and observational microarray studies need to be revised or completely re-invented to accommodate RNA-Seq data's unique characteristics. In this dissertation, we focus on statistical analyses performed at two particular stages in...
    Resource Type:
    Dissertation
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    Sequencing Count Data Abstract approved: Yanming Di Daniel W. Schafer RNA-Sequencing (RNA-Seq) has rapidly

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
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    thank Xiaoli Fern and Raviv Raich, who have done excellent work on processing the bird acoustic data

  • Signatures in the Subsurface - Big & Small Data Approaches for the Spatio-Temporal Analysis of Geologic Properties & Uncertainty Reduction

    Creator:
    Rose, Kelly Kathleen
    Abstract:
    Despite more than two centuries of exploration, including more than six million deep wellbores with depths exceeding 40,000 feet in some parts of the world, our ability to constrain subsurface processes and properties remains limited. Characteristics of the subsurface vary and can be analyzed on a variety of spatial scales....
    Resource Type:
    Dissertation
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    ............................................................................................... 89 4.7.2 Data Integration and Processing

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
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    was the first Graphics Processing Unit (GPU). Two years later, Nvidia added programmability in the

  • Optimal load and resource balance in internet distributed systems

    Creator:
    Nishida, Hiroshi
    Abstract:
    A distributed system is a network of multiple autonomous computational nodes designed primarily for performance scalability and robustness. The performance of a distributed system depends critically on how tasks and resources are distributed among the nodes. Thus, a main thrust in distributed system research is to design schemes for distributing...
    Resource Type:
    Dissertation
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    uncooperative peers, or free riders who only download data from other peers without sharing their data with

  • Factors that affect a school district's ability to successfully implement the use of data warehouse applications in the data driven decision making process

    Creator:
    DeLoach, Robin
    Abstract:
    The purpose of this study was to explore the factors that influence the ability of teachers and administrators to use data obtained from a data warehouse to inform instruction. The mixed methods study was guided by the following questions: 1) What data warehouse application features affect the ability of an...
    Resource Type:
    Dissertation
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    : Factors that Affect a School District’s Ability to Successfully Implement the Use of Data Warehouse

  • An Evaluation of Design and Inference in Special Topics of Group Sequential Procedures

    Creator:
    Skalland, Timothy Michael
    Abstract:
    Randomized trials are the gold standard for the clinical assessment of a new treatment compared to a placebo or standard of care. Often in clinical trials, patients are accrued sequentially rather than all at once. Thus, the data from such a trial becomes available sequentially to the researcher. Monitoring and...
    Resource Type:
    Dissertation
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    sequentially rather than all at once. Thus, the data from such a trial becomes available sequentially to the

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    purely empirical short-read data. Fi- nally, we outline current state-of-the-art methods for discovering

  • Visualizers, visualizations, and visualizees : differences in meaning-making by scientific experts and novices from global visualizations of ocean data

    Creator:
    Stofer, Kathryn A.
    Abstract:
    Data visualizations designed for academic scientists are not immediately meaningful to everyday scientists. Communicating between a specialized, expert audience and a general, novice public is non-trivial; it requires careful translation. However, more widely available visualization technologies and platforms, including new three-dimensional spherical display systems in schools and informal science education...
    Resource Type:
    Dissertation
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    Meaning-Making by Scientific Experts and Novices from Global Visualizations of Ocean Data AN