RSS 1.0Computer Science and Electrical Engineering Electronic Theses and Dissertations (UMKC)
The items in this collection are the theses and dissertations written by students of the Department of Computer Science and Electrical Engineering. Some items may be viewed only by members of the University of Missouri System and/or University of Missouri-Kansas City. 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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CFD Modeling and Optimization Analysis of Thermal Energy Storage Based Solar Collectors
(2022)Among various types of solar collectors, evacuated tube solar collector (ETC) has attracted much attention, especially for their application in solar water heating systems (SWHs). However, due to the intermittency in solar ... -
Sorting Real Numbers into a Linked List on the PRAM Model
(2021)We study the sorting of real numbers into a linked list on the PRAM (Parallel Random Access Machine) model. The research work consists of two parts. First part talks about the various techniques involved in sorting the ... -
ICE-MILK: Intelligent Crowd Engineering using Machine-based Internet of Things Learning and Knowledge Building
(2022)The lack of proper crowd safety control and management often leads to spreading human casualties and infectious diseases (e.g., COVID-19). Many Machine Learning (ML) technologies inspired by computer vision and video ... -
Second chance competitive autoencoders for understanding textual data
(2021)Every day, an enormous amount of text data is produced. Sources of text data include news, social media, emails, text messages, medical reports, scientific publications, and fiction. To keep track of this data, there are ... -
An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ... -
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain
(2021)With increased awareness comes unprecedented expectations. We live in a digital, cloud era wherein the underlying information architectures are expected to be elastic, secure, resilient, and handle petabyte scaling. The ... -
Domain Playground: Extending Deep Learning Models to Open Domain Boundaries
(2021)Deep learning models have demonstrated monumental performance in classification tasks but require extensive data and training procedures to converge. Additionally, the performance is only guaranteed when there is no domain ... -
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)Stories are a powerful medium through which the human community has exchanged information since the dawn of the information age. They have taken multiple forms like articles, movies, books, plays, short films, magazines, ... -
Reliability management framework for softwarized networks
(2021)The Software-Defined Networking (SDN) technologies promise to enhance the performance, reliability, and cost of managing both wired and wireless network infrastructures, functions, controls, and services (i.e., Internet ... -
A novel approach to embedding memory with crosstalk logic circuits for high performance applications
(2021)One of the essential elements of computing is the memory element. Flip-flops form an integral part of a System-on-Chip (SoC) and consume most of the area on the die. To meet the high-speed performance demands by data-intensive ... -
Building a reliable and secure management framework for software-defined networks
(2021)The Software-Defined Networking (SDN) technologies promise to enhance the performance and cost of managing both wired and wireless network infrastructures, functions, controls, and services (i.e., Internet of Things). ... -
Deep learning-based artifacts removal in video compression
(2021)The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts, extensive filtering techniques were ... -
Bugs, Drugs and Data: Antibiotic Resistance, Prevalence and Prediction of Bug-Drug Mismatch using Electronic Health Records (EHR) Data
(2021)Bug-Drug Mismatch (BDM) occurrences are an important and modifiable category of inappropriate antibiotic therapy (IAAT) that increases adverse outcomes for patients and drives overall antibiotic resistance (AR). Surveillance ... -
Design of Multi-modality Deep Fusion Architecture for Deep Acoustic Analytics
(2021)There is increasing attention for audio classification research to support various emerging applications, including environmental monitoring, health care, and smart city. Audio classification is an important area of research ... -
AI-based Edge Computing System for Event Based Analytics
(2021)In recent years, the Internet of Things (IoT) has received lots of attention due to its promising applications. Along with IoT evolution, we have witnessed advanced research for edge computing and its potential benefits ... -
Survivable and reliable design of cellular and vehicular networks for safety applications
(2021)The research work is divided into two focus areas namely: cellular networks and vehicular networks. The first part of the research work is in cellular networks. Cellular network design and operation must incorporate disaster ... -
Scalable Acceleration of The Characteristic Mode Analysis Computational Toolbox Using Big Data Techniques
(2021)Characteristic Mode Analysis (CMA) is used in the design and analysis of a wide range of electromagnetic devices such as antennas and nano-structures. CMA provides physical insight into a target's electromagnetic response ... -
Constraining the Major Merging History of Massive Galaxies: A Comprehensive Analysis of Close Pairs and Tidal Features Using Empirical and Simulated Data
(2021)Major galaxy merging is a fundamental aspect of the hierarchical structure-growth scenario of the universe, and it is theoretical expected to contribute to several key aspects of galaxy evolution. As such, empirically ... -
Vision task driven image super-resolution and image enhancement
(2021)In visual object recognition problems, low-light exposure, and low-quality images present great challenges in a variety of navigation and surveillance use cases. Recent advancements in deep learning-based methods may ... -
Development of pulsed power sources using self-sustaining nonlinear transmission lines and high-voltage solid-state switches
(2021)The demand for short pulses capable of delivering high peak power is increasing by leaps and bounds over the last few decades. These pulses are garnering attraction from a wide variety of end-users associated with the ...