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.
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Recent Submissions
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New methods to improve detection and classification on waterfowl and tree in aerial images
(University of Missouri--Columbia, 2024)Monitoring waterfowl populations and their classification is vital for wetland conservation, and deep learning has recently demonstrated significant potential in detecting waterfowl from aerial images. This dissertation ... -
Leveraging deep learning for change detection in bi-temporal remote sensing imagery
(University of Missouri--Columbia, 2024)Deforestation in the Brazilian Amazon poses significant threats to global cli- mate stability, biodiversity, and local communities. This dissertation presents ad- vanced deep learning approaches to improve deforestation ... -
VECA : reliable and confidential resource clustering for volunteer edge-cloud computing
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] Volunteer Edge-Cloud (VEC) has a significant potential to support scientific workflows in user communities contributing volunteer edge nodes. However, managing heterogeneous and intermittent ... -
Low-overhead zero trust for communication and computation tasks in tactical edge networks
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] Tactical Edge Network (TEN) environments are critical to deploy applications in e.g., military, disaster response, and industrial manufacturing environments. With TENs involving dynamic ... -
A study of building intelligent systems using reinforcement learning for remote instrumentation and immersive learning
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] Reinforcement Learning (RL) has the potential for developing intelligent, adaptive systems and foster feedback-oriented training of software to make decisions that maximize rewards, and increase ... -
Adaptive open-set active learning with distance-based out-of-distribution detection for robust task-oriented dialog systems
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] The advancements in time-efficient data collection techniques such as active learning (AL) have become salient for user intent classification performance in task-oriented dialog systems (TODS). ... -
Chain-of-query prompting pipeline for improving small-scale language models in multi-hop open-domain question answering
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] Large Language Models (LLMs) have shown to exhibit robust performance in multi-hop open-domain question-answering (ODQA), which is often attributed to the large number of parameters and extensive ... -
Robust multi-expert learning for biomedical image analysis
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] The increasing complexity and volume of medical imaging data necessitate robust and novel analysis methods to improve diagnostic accuracy and automate biological research processes. While deep ... -
Advancing space-borne computational vision for rare object mapping
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] This work investigates and proposes solutions to common challenges in remote sensing for mapping rare targets. The first part focuses on the classification and precise localization of rare ... -
An image-text model for effective retrieval of seventeenth-century Spanish American notary records
(University of Missouri--Columbia, 2024)Historical manuscripts are rich in information but challenging to search due to their physical format (e.g., poor image quality) and varied handwriting. The existing work on handwritten documents has predominantly utilized ... -
Building an extensible, AI-augmented ecological momentary assessment platform
(University of Missouri--Columbia, 2024)In the rapidly evolving landscape of data-driven research, mobile ecological momentary assessment (EMA) has emerged as a powerful tool for real-time data collection. TigerAware, an advanced system designed for the user-friendly ... -
Scalable knowledge graph construction and inference on human genome variants
(University of Missouri--Columbia, 2024)Harnessing the unlimited potential of RNA-sequencing data requires efficient and scalable solutions. In this research, we explore the power of knowledge graphs to analyze variant-level information extracted from RNA-sequences ... -
Protein structure quality assessment by deep learning
(University of Missouri--Columbia, 2024)Proteins, considered fundamental building blocks of life, play an important role across various scientific domains, including novel protein design, protein structure prediction, and new drug discovery. Each of these fields ... -
Fusing partitions of diverse hand-crafted features derived from unsupervised intermediaries for robust and interpretable object co-associations
(University of Missouri--Columbia, 2024)Data association in digital imagery is a complex task in any setting, but remote sensing provides a uniquely challenging context. Indeed, rapidly changing viewpoints, varying sensor modalities, and atmospheric distortions ... -
Applications of deep learning in protein structure prediction : from complexes to intrinsically disordered proteins
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 05/01/2025] Proteins are essential biomolecules that play crucial roles in various biological processes within organisms. Their complex interactions and structures are fundamental to understanding cellular ... -
Development of a mixed reality-based learning system with dynamic posture recognition for advancing ergonomics education
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 05/01/2025] Proper lifting posture is one of the crucial topics in ergonomics education. Prolonged use of incorrect postures to carry heavy objects can lead to potential illnesses. The high rate of lumbar ... -
Modeling a ransomware attack : a game-theoretic exploration of strategic interplay between attacker and defender
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 05/01/2025] Ransomware attacks persist as a formidable and continuous threat, targeting vital sectors like healthcare, finance, and transportation. These attacks often elude traditional cybersecurity ... -
Towards enabling distributed situational awareness for autonomous system collaboration
(University of Missouri--Columbia, 2024)State of the art research towards multi-agent AI requires the ability to perceive within a given environment. This involves a process of ingesting raw information streams into explainable representation of the surrounding ... -
A systemic comparison comparison of concurrent multiparty secret sharing with SGD regression and classification
(University of Missouri--Columbia, 2024)In recent years Secure Multiparty Computation (MPC) via Secret Sharing has emerged as a key intersection between the fields of cryptography and machine learning. MPC's ability to allow N-number of participants to hide their ... -
A client-server architecture for modern times
(University of Missouri--Columbia, 2024)Client-server computing (Maffeis 2003) at its zenith in the 1990's (Sinha 1992) provided rich and diverse technology on both sides of the wire. Clients had the ability to perform literally any operation. Code could be ...