RSS 1.0Computer Science electronic theses and dissertations (MU)
The items in this collection are the theses and dissertations written by students of the Department of Computer Science. Some items may be viewed only by members of the University of Missouri System and/or University of Missouri-Columbia. Click on one of the browse buttons above for a complete listing of the works.
Items in MOspace are protected by copyright, with all rights reserved, unless otherwise indicated.
Recent Submissions
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Defending deepfake detector against data poisoning attacks
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] 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 ... -
Gradient descent optimization and deep reinforcement learning for protein-protein interaction
(University of Missouri--Columbia, 2022)Reconstruction of the 3D structure of protein dimers is a crucial and challenging task. Although inter-protein contacts have been found useful in the modeling process of protein complexes, a few methods have been introduced ... -
A flexible speech feature converter based on an enhanced architecture of U-net
(University of Missouri--Columbia, 2020)In order to analyze speech or audio, many methods are applied to transform the time domain signals into various features such as the mel spectral features and WORLD vocoder features. These two types of features can both ... -
Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ... -
"Bring-your-own" plug-in management for next-generation science gateway applications
(University of Missouri--Columbia, 2020)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Science gateways are web-portals that hide background complexities of underlying resources and expose easy-to-use capabilities of scientific ... -
Deep learning and DCT-based hand-crafted features for computer vision tasks
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Feature extraction and matching are critical components for many computer vision tasks including camera pose estimation, 3D reconstruction, simultaneous localization and mapping (SLAM), and ... -
New methods for protein structure prediction using machine learning and deep learning
(University of Missouri--Columbia, 2022)Computational protein structure prediction is one of the most challenging problems in bioinformatics area. Due to the widespread use of sampling-and-selection strategy, protein model quality assessment became important. ... -
Trusted resource allocation in volunteer edge-cloud computing for scientific applications
(University of Missouri--Columbia, 2022)Data-intensive science applications in fields such as e.g., bioinformatics, health sciences, and material discovery are becoming increasingly dynamic and demanding with resource requirements. Researchers using these ... -
Detecting targeted data poisoning attacks on deep neural networks
(University of Missouri--Columbia, 2022)Deep neural networks (DNNs) are widely used for various facial image-recognition purposes, including facial recognition and subsequent authentication, and the detection of altered facial images. Unfortunately, due to their ... -
Video summarization using mosaicing and activity maps for aerial and biomedical imagery
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 8/1/2023] 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. ... -
Protein tertiary structure prediction and refinement using deep learning
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 8/1/2023] Building the high-quality structure of a protein from its amino acid sequence has important applications in protein engineering and drug design. The problem of accurate protein three-dimensional ... -
Protein-DNA interaction prediction and protein structure modeling by machine learning
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 8/1/2023] 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: ... -
A system for large-scale image and video retrieval on everyday scenes
(University of Missouri--Columbia, 2022)There has been a growing amount of multimedia data generated on the web todayin terms of size and diversity. This has made accurate content retrieval with these large and complex collections of data a challenging problem. ... -
Building environmentally-aware classifiers on streaming data
(University of Missouri--Columbia, 2022)The three biggest challenges currently faced in machine learning, in our estimation, are the staggering quantity of data we wish to analyze, the incredibly small proportion of these data that are labeled, and the apparent ... -
Accurate, fast, and robust 3D city-scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2021)Multi-view stereopsis (MVS) is a core problem in computer vision, which takes a set of scene views together with known camera poses, then produces a geometric representation of the underlying 3D model Using 3D reconstruction ... -
Privacy-preserving collaboration in an integrated social environment
(University of Missouri--Columbia, 2021)Privacy and security of data have been a critical concern at the state, organization and individual levels since times immemorial. New and innovative methods for data storage, retrieval and analysis have given rise to ... -
Structural modeling of the 3D genome using machine learning
(University of Missouri--Columbia, 2021)This dissertation, submitted as a partial requirement for completion of the Doctorate of Philosophy, outlines the research performed by Max Highsmith in the BDM Lab. This work includes a functional expansion of a ... -
Computer vision for plant and animal inventory
(University of Missouri--Columbia, 2021)The population, composition, and spatial distribution of the plants and animals in certain regions are always important data for natural resource management, conservation and farming. The traditional ways to acquire such ... -
Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery
(University of Missouri--Columbia, 2021)We conducted research to develop and test methods to improve the detection of scarce objects in high-resolution electro-optical satellite imagery. We demonstrated improvements through various forms of information and data ... -
Efficient secure comparison in the dishonest majority model
(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 ...