This community contains the collections of theses submitted electronically to the School of Graduate Studies by masters degree candidates at the University of Missouri-Kansas City.

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Recent Submissions

  • Context Based Multi-Image Visual Question Answering (VQA) in Deep Learning 

    Peddinti, Sudhakar Reddy (University of Missouri--Kansas City, 2017)
    Image question answering has gained huge popularity in recent years due to advancements in Deep Learning technologies and computer processing hardware which are able to achieve higher accuracies with faster processing ...
  • One-Shot Learning Model for Cancer Diagnosis from Histopathological Images 

    Yarlagadda, Dig Vijay Kumar (University of Missouri--Kansas City, 2017)
    Cancer diagnosis from tissue biomarker scoring is a vital technique used in determining type and grade of cancer. This is a significant part of workload for pathologists, the process is tedious, time consuming, subjective, ...
  • Topic-Based Video Classification and Retrieval Using Machine Learning 

    Vadlamudi, Naga Krishna (University of Missouri--Kansas City, 2017)
    Machine learning has made significant progress for many real-world problems. The Deep Learning (DL) models proposed primarily concentrate on object detection, image classification, and image captioning. However, very ...
  • Study of QoE for DASH at Sub-representational Level 

    Swamy, Deepthi Basavapatna Narayana (University of Missouri--Kansas City, 2017)
    Dynamic Adaptive Streaming over HTTP has become the most commonly used technology in video streaming. It enables the player to adapt to the bitrate of the video while streaming to ensure continuous playback. DASH ...
  • Modeling the Effects of Drugs of Abuse on HIV Infections with Two Viral Species 

    Uhl, Peter Maurice (University of Missouri--Kansas City, 2017)
    Injection drug use is one of the greatest risk factors associated with contracting human immunodeficiency virus (HIV), and drug abusers infected with HIV suffer from a higher viral load and rapid pathogenesis. Replication ...
  • From Pop Culture to Nuclear Debate: The Impact of The Day After in Lawrence and Kansas City 

    Scheil, Luke Slater (University of Missouri--Kansas City, 2017)
    This thesis examines the creation and response in America to the 1983 nuclear disaster film The Day After. Fueled by renewed nuclear buildup of the 1980s Cold War, the release of the movie became a worldwide sensation, ...
  • Building Bridges: An Anthology of the War on Prostitution and the Greater Women’s Movement in Kansas City 

    Peile, Kaylee M. (University of Missouri--Kansas City, 2017)
    This research looks at Kansas City’s War on Prostitution in 1977 and the larger women’s movement of second-wave feminism throughout the 1970s and 1980s. The War on Prostitution makes the women’s movement in Kansas City ...
  • H3DNET: A Deep Learning Framework for Hierarchical 3D Object Classification 

    Patel, Marmikkumar (University of Missouri--Kansas City, 2017)
    Deep learning has received a lot of attention in the fields such as speech recognition and image classification because of the ability to learn multiple levels of features from raw data. However, 3D deep learning is ...
  • Adaptive Routing Using SDN and NFV 

    Parab, Tejas Balkrishna (University of Missouri--Kansas City, 2017)
    In recent times, the primary focus of every ISP is to deliver high quality of service for multimedia applications. Due to ever-increasing network traffic, it is challenging for ISPs to accomplish optimal network ...
  • Hydrological Modeling of Urban Watershed with Snowfall for the Indian Creek Basin 

    Orozco, Gustavo A. (University of Missouri--Kansas City, 2017)
    The present study explores the transport rate of urban pollutants by using snow melting processes by road salts and electrical conductance in the Indian Creek and Tomahawk Creek in Kansas. We adopted a cross-correlation ...
  • Mesh Adaptation in Fractured Reservoir Simulation 

    Azeez, Ahmed (University of Missouri--Kansas City, 2017)
    Natural fractures exist in many oil and gas reservoirs. On the other hand, hydraulic fracturing (fracking) is needed to create fractures in some reservoirs to improve the production rate. For example, shale gas reservoirs ...
  • Settlers, Schoolteachers, and Suffragists: Female Homesteading in South Dakota 

    Eckard, Caitlin Renee (u, 2017)
    Imagine packing all your possessions into a couple of trunks and leaving your home. You travel by train to South Dakota, sight unseen, to file a claim to the land so you can become a homesteader. The passage of the ...
  • Numerical Simulation and Performance Optimization of Perovskite Solar Cell 

    Nanduri, Sai Naga Raghuram (University of Missouri--Kansas City, 2017)
    The organic-metal halide perovskite is emerging technology in photo voltaic solar cells. For any solar cell to get the significant efficiency depends on various design parameters such as material thickness, device ...
  • Extended Range Tactical Resupply Using Tailless UAV 

    Kraft, Tyler E. (University of Missouri--Kansas City, 2017)
    An alternative approach for precision aerial delivery utilizing a flying wing for controllable forward glide is presented. Although effective, current delivery methods either display a lack of control, or require close ...
  • Determining Elemental Concentrations of Nickel-Doped Iron Samples through the Method of Laser Induced Breakdown Spectroscopy 

    Harris, Jeffrey Thomas (University of Missouri--Kansas City, 2017)
    Accurate information about the composition and concentration of the elements comprising a material is oftentimes of the utmost importance. Laser induced breakdown spectroscopy (LIBS) is a method for determining ...
  • Building a Knowledge Graph for Food, Energy, and Water Systems 

    Gharibi, Mohamed (University of Missouri--Kansas City, 2017)
    A knowledge graph represents millions of facts and reliable information about people, places, and things. Several companies like Microsoft, Amazon, and Google have developed knowledge graphs to better customer experience. ...
  • NCC-EM: A hybrid framework for decision making with missing information 

    Chavakula, Varun (University of Missouri--Kansas City, 2017)
    Accounting for uncertainty is important in any data driven decision making. The popular treatment of uncertainties is to employ classical probability theory by expressing variables as random variables or processes in ...
  • Algorithms on Majority Problem 

    Tarafdar, Rajarshi (University of Missouri--Kansas City, 2017)
    The main idea of the paper to give solutions to the majority problem where we are counting the number of occurrences of the majority element more than half of the total number of the elements in the input set and also ...
  • Are Functional Limitations Predictive of Use of Complementary and Alternative Medicine by Chronic Pain Patients? 

    Montgomery, Deborah I. L. (University of Missouri--Kansas City, 2017)
    Chronic pain is an escalating problem in the United States, with a prevalence of over 100 million people at an annual cost of $560 – 635 billion per year in medical costs and lost productivity. Some of the consequences ...
  • The Musical Education and Involvement of the Six Wives of Henry VIII 

    Little, Brooke Catherine (University of Missouri--Kansas City, 2017)
    The first half of sixteenth-century England was a land permeated by religious upheaval and political instability. Despite being a land fraught with discord, it was a time of great advances in education, theology, and ...

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