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Filtering by: Creator Danko, Joseph P. Remove constraint Creator: Danko, Joseph P. 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

  • 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

  • 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

  • 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:
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  • 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

  • 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 Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis
    Full Text:
    Media Sensors for Twitter Abstract approved: Scott P. Sanner Social media sources such as Twitter

  • Helping end-user programmers find and fix performance problems in visual code

    Creator:
    Chambers, Chris
    Abstract:
    End-user programmers often struggle to create programs that run quickly and effectively, which can be a major deterrent in completing their tasks as desired. Current research has primarily focused on catching user mistakes, such as errors or misused formulas. However, end users deal with issues other than just correctness. In...
    Resource Type:
    Dissertation
    Full Text:
    Performance Problems in Visual Code Abstract approved: Christopher P. Scaffidi End-user programmers

  • Scheduling and Online Planning in Stochastic Diffusion Networks

    Creator:
    Xue, Shan
    Abstract:
    Diffusion processes in networks are common models for many domains, including species colonization, information/idea cascade, disease propagation and fire spreading. In diffusion networks, a diffusion event occurs when a behavior spreads from one node to the other following a probabilistic model, where the behavior could be species, an idea, a...
    Resource Type:
    Dissertation
    Full Text:
    Online Planning in Stochastic Diffusion Networks Abstract approved: Alan P. Fern Diffusion processes