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Filtering by: Creator Nibler, Joseph W. Remove constraint Creator: Nibler, Joseph W. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Machine Learning and Optimization Applications in Agriculture

    Creator:
    Molotkov, Alexander
    Abstract:
    The ever-increasing global population presents looming problems for the field of agriculture. Global food demand will, at some point, increase to the point where there is not enough crop-ready land to keep up. This creates an additional incentive, other than economics, for growers to increase their yield-per-acre and make sure...
    Resource Type:
    Honors College Thesis
    Full Text:
    , 2021. Title: Machine Learning and Optimization Applications in Agriculture Abstract approved: Joseph

  • Cost-cognizant test case prioritization for regression testing : an empirical study

    Creator:
    Ruthruff, Joseph Ronald
    Abstract:
    Regression testing is a common and necessary task carried out by software practitioners to validate the quality of evolving software systems. Unfortunately, regression testing is often an expensive, time-consuming process, particularly when applied to large software systems. Consequently, practitioners may wish to prioritize the test cases in their regression test...
    Resource Type:
    Honors College Thesis
    Full Text:
    -��)�Y_ #�`13I-)2<%\Zgh)�iZM�"%IJ45IJAC*�+�FX13/%,HQ�W ghj2�!1345*�AK1?*�"2"%45��k� K,�\ l 45 K

  • Register spilling in a compiler for architectures with multiple identical functional units

    Creator:
    Goodman, Joseph M.
    Abstract:
    A good code generator must effectively utilize the registers provided by the target architecture. Although a number of register allocation techniques exist, few address the issues involved in multiple register banks and no known techniques exist for effectively using register banks of the same type that are associated with multiple...
    Resource Type:
    Capstone Project
    Full Text:
    Multiple Identical Functional Units Joseph M. Goodman Oregon State University Corvallis, Oregon March

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Joseph Lawrance for the degree of Doctor of Philosophy in

  • Automatic scheduling and dynamic load sharing of parallel computations on heterogeneous workstation clusters

    Creator:
    Jacob, Joseph, 1971-
    Abstract:
    Parallel computing on heterogeneous workstation clusters has proved to be a very efficient use of available resources, increasing their overall utilization. However, for it to be a viable alternative to expensive, dedicated parallel machines, a number of key issues need to be resolved. One of the major challenges of heterogeneous...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Joseph Jacob for the degree of

  • How well do professional developers test with code coverage visualizations? : an empirical study

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Professional software developers do not test code adequately, even though testing tools are widely available. Until developers realize the deficiencies in their tests, inadequate testing of software seems likely to remain a major problem. To support developers writing tests, industry and researchers have proposed systems that visualize “testedness” for end-user...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Joseph A. Lawrance for the degree of

  • Interactive fault localization techniques to empower the debugging efforts of end-user programmers

    Creator:
    Ruthruff, Joseph Ronald
    Abstract:
    End users develop more software than any other group of programmers, using software authoring devices such as e-mail filtering editors, by-demonstration macro builders, and spreadsheet environments. Despite this, there has been only a little research on finding ways to help these programmers with the dependability of the software they create....
    Resource Type:
    Masters Thesis
    Full Text:
    thesis.dvi AN ABSTRACT OF THE THESIS OF Joseph Ronald Ruthrufffor the

  • Computer Vision Model Selection For Real-Time Tracking of Apples

    Creator:
    Bloch, Peter J.
    Abstract:
    This paper presents a method of implementing real-time apple detection for closed-loop control to approach apples for grabbing. The approach is to train two known real-time object detection networks–the Faster R-CNN and YOLOv5–on a novel dataset to verify that it is possible to achieve maximum average precision (mAP) above 50\%...
    Resource Type:
    Honors College Thesis
    Full Text:
    Engineering Joseph Davidson, Committee Member, representing Mechanical, Industrial & Manufacturing

  • Learning multiple non-redundant codebooks with word clustering for document classification

    Creator:
    Surve, Akshat Sudhakar
    Abstract:
    The problem of document classification has been widely studied in machine learning and data mining. In document classification, most of the popular algorithms are based on the bag-of-words representation. Due to the high dimensionality of the bag-of-words representation, significant research has been conducted to reduce the dimensionality via different approaches....
    Resource Type:
    Masters Thesis
    Full Text:
    example is represented as = , … where W (vocabulary of words). This being Supervised Learning, the

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis
    Full Text:
    ; Dr. Joseph Louis, who comes form department of Civil and Construction Engineering, for his interest