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    Browsing Theses and Dissertations (MU) by Thesis Department 
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    • Browsing Theses and Dissertations (MU) by Thesis Department
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    • University of Missouri-Columbia
    • Graduate School - Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Browsing Theses and Dissertations (MU) by Thesis Department
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    Browsing Theses and Dissertations (MU) by Thesis Department "Computer science"

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    • Data mining and machine learning methods for chromosome conformation data analysis 

      Oluwadare, Oluwatosin (2019)
      Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ...
    • Development of web services in academic environment 

      Qin, Yongfang (2019)
      The rapid growth in the use of the World Wide Web (WWW) has been noted by many researchers and practitioners. Web services have become a powerful and irreplaceable tool to help us spread information and help companies to ...
    • Local and deep texture features for classification of natural and biomedical images 

      Oraibi, Zakariya Ahmed (2019)
      Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ...
    • Privacy preservation in mobile social networks 

      Steiert, Douglas (2019)
      In this day and age with the prevalence of smartphones, networking has evolved in an intricate and complex way. With the help of a technology-driven society, the term "social networking" was created and came to mean using ...
    • PRO3DCNN : convolutional neural network for mapping protein structure into folds 

      Hong, Yechan (2019)
      Motivation: SCOPe 2.07 is a dataset of 276,231 protein domains that have been partitioned into varying folds according to their shape and function. Since a protein's fold reveals valuable information about it's shape and ...
    • Region based object detectors for recognizing birds in aerial images 

      Carrion Castagnola, Pedro Jesus (2019)
      This project explores different types of deep neural networks (DNNs) for recognizing birds in aerial images based on real data provided by the Missouri Department of Conservation. The pipeline to identify birds from an ...

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