Computer 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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Advance : adversarial collaborative learning for detection and verification of artificially created examples
(University of Missouri--Columbia, 2023)Adversarial learning methods have gained significant popularity in generating deceptive yet convincingly authentic data. While these techniques have proven beneficial for advancing artificial intelligence, they also give ... -
ETL automation and mixed reality live data visualization in an IoT system for smart buildings
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 8/1/2024] Data extraction and processing is an integral part of a complex IoT system. The data visualization interprets huge quantities of data into a graphical 2D and 3D visualization to make it easy to ... -
Tensor completion methods with provable consistency and fairness guarantees for recommender systems
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 8/1/2024] This thesis introduces novel consistency-based approaches for solving nonnegative/ positive matrix and tensor completion problems in the context of recommender systems. The proposed framework ... -
Deep learning-based solutions for electron microscopy image analysis
(University of Missouri--Columbia, 2023)Electron microscopy (EM) enables capturing high resolution images of very small structures in biological and non-biological specimens such as membrane proteins, viruses, subcellular structures, nanoparticles, or material ... -
Protein contact distance and structure prediction driven by deep learning
(University of Missouri--Columbia, 2023)Proteins, fundamental building blocks of living organisms, play a crucial role in various biological processes. Understanding protein structure is essential for unraveling their functions and designing therapeutics. However, ... -
A comprehensive web-based platform for multi-omics data-driven phenotype prediction and marker discovery
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] The G2PDeep-v2 server is a comprehensive web-based platform powered by deep learning, providing phenotype prediction and markers discovery. Despite the availability of similar phenotype prediction ... -
Intelligent orchestration of computation and networking for drone swarm applications
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] Drone swarms that are equipped with high-resolution sensors and video cameras can benefit many applications (e.g., disaster response management, smart farming, traffic control). This requires ... -
Conversation understanding and realistic artificial crash data generation with deep learning
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] This dissertation focuses on conversation understanding and realistic crash data generation with deep learning. Conversation understanding includes conversational outcome, formality, and politeness ... -
Increase students learning effectiveness and promote active learning in sexual health and body image through VR technology
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] Virtual reality (VR) is becoming more popular in the field of education. Consequently, studies have investigated the implantation of VR, and the design and development aspects of creating VR ... -
Continuous anticipation of acute kidney injury in the ICU
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] Acute kidney injury (AKI) is a syndrome characterized by the abrupt loss of excretory function of the kidney. It is often diagnosed by the buildup of end products of nitrogen metabolism (urea and ... -
Next-generation DevOps for network and compute-intensive applications
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] DevOps has emerged as a critical technology/practice in the era of rapid digital transformation, significantly enabling automation and streamlining the software as well as infrastructure development ... -
GPU implementation of video analytics algorithms for aerial imaging
(University of Missouri--Columbia, 2023)This work examines several algorithms that together make up parts of an image processing pipeline called Video Mosaicing and Summarization (VMZ). This pipeline takes as input geospatial or biomedical videos and produces ... -
Web development for P3DB and Fatplants
(University of Missouri--Columbia, 2023)Researchers working in plant biology have a wealth of data collected by labs across the globe to assist them in their studies. There are massive databasesS containing phosphorylation data, proteins, genes, and interaction ... -
Explainable parts-based concept modeling and reasoning
(University of Missouri--Columbia, 2023)State-of-the-art artificial intelligence (AI) learning algorithms heavily rely on deep learning methods that exploit correlation between inputs and outputs. While effective, these methods typically provide little insight ... -
Multi-modal and multi-dimensional biomedical image data analysis using deep learning
(University of Missouri--Columbia, 2023)There is a growing need for the development of computational methods and tools for automated, objective, and quantitative analysis of biomedical signal and image data to facilitate disease and treatment monitoring, early ... -
Defending deepfake detector against data poisoning attacks
(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 ... -
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 ...