Browsing Theses and Dissertations (MU) by Thesis Department "Computer Science (MU)"

Now showing items 1-7 of 7

  • Defending deepfake detector against data poisoning attacks 

    Cutkosky, Maya Kalyani (University of Missouri--Columbia, 2022)
    With the ability of generating high quality fake images using deep neural networks, fake image detection techniques have become more and more important to serve as the guard that prevents misinformation from spreading ...

  • Efficient secure comparison in the dishonest majority model 

    Allami, Ali (University of Missouri--Columbia, 2021)
    Secure comparison (SC) is an essential primitive in Secure Multiparty Computation (SMC) and a fundamental building block in Privacy-Preserving Data Analytics (PPDA). Although secure comparison has been studied since the ...

  • Neural modeling case studies at biophysical, machine learning, and automation levels 

    Banks, Tyler Justin (University of Missouri--Columbia, 2023)
    [EMBARGOED UNTIL 12/1/2024] This dissertation reports three case studies using machine learning, biophysical, and automation frameworks to study neural engineering challenges. The first study utilized machine learning with ...

  • New deep learning methods for small to medium object detection in images 

    Tang, Zhicheng (University of Missouri--Columbia, 2023)
    The growing application of unmanned aerial vehicles (UAVs) for remote sensing has prompted the need for advanced techniques to process the vast amounts of aerial imagery they collect. Convolutional Neural Networks (CNNs) ...

  • Protein-DNA interaction prediction and protein structure modeling by machine learning 

    Chen, Chen (University of Missouri--Columbia, 2022)
    Proteins are large, complex molecules that perform most essential functions within organisms. In this work, we mainly focus on two important aspects that determine their functional properties: the tertiary structure of the ...

  • Protein-ion binding site prediction using deep learning 

    Essien, Ufok Clement (University of Missouri--Columbia, 2023)
    More than 50 percent of proteins bind to ions and these interactions are essential for various biological functions such as enzymatic catalysis, structural stability, signal transduction, protein function modulation, and ...

  • Video summarization using mosaicing and activity maps for aerial and biomedical imagery 

    Aktar, Rumana (University of Missouri--Columbia, 2022)
    The objective of this research is to develop a methodology to summarize the content of long videos using a few geospatial coverage maps or mini-mosaics for both aerial and biomedical imagery. Automatic mosaic and coverage ...