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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3D Hand Pose Estimation Via a Lightweight Deep Learning Model
(University of Missouri -- Kansas City, 2018)Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or IR illumination-based methods to capture the ... -
MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection
(University of Missouri -- Kansas City, 2018)Understanding users’ context is essential in emerging mobile sensing applications, such as Metal Detector, Glint Finder, Facefirst. Over the last decade, Machine Learning (ML) techniques have evolved dramatically for ... -
Understanding and Adapting to Crowd Behavior: A Study of Wireless Networks and Entrepreneurial Crowdfunding
(University of Missouri -- Kansas City, 2017)The advances of the future will demand scholars have a systemic vision to solve problems. Integration across disciplines is needed to study, explain, inquire and discover beyond the traditional borders of academic areas. ... -
Addressing On-Chip Power Conversion and Dissipation Issues in Many-Core System-on-a-Chip based on Conventional Silicon and Emerging Nanotechnologies
(University of Missouri -- Kansas City, 2017)Integrated circuits (ICs) are moving towards system-on-a-chip (SOC) designs. SOC allows various small and large electronic systems to be implemented in a single chip. This approach enables the miniaturization of design ... -
Smart City Open Data Network System: Openness, Security, and Privacy
(University of Missouri--Kansas City, 2017)The increasing concentration of population around the cities poses challenges in their operation and services. On the other hand, the current technological revolution allows scalable and innovative means to better serve ... -
Assessment Of Overcurrent Relay Coordination In A Microgrid With High PV Penetration Deployment
(University of Missouri--Kansas City, 2017)The existing distribution system is experiencing radical changes with the rapid proliferation of Distributed Energy Resources (DERs)[1]. Microgrids have been proposed as a way of integrating large numbers of distributed ... -
Fog Computing Based IoT Applications and Their Performance
(University of Missouri--Kansas City, 2018)Today’s Internet of Things (IoT) is enabling innovations much faster to enhance the quality of life using various IoT applications such as Smart City, Smart Homes, Autonomous Driving Cars, Drone Monitoring Systems and ... -
Smart Travel Recommender System
(University of Missouri--Kansas City, 2018)Many people around the globe live in areas that have unhealthy levels of air pollution. Such air pollution raises the risks of health problems. Current travel guidance systems such as Google Maps give recommendations ... -
CR-GAN: Content-Based Recommender System with Conditional Generative Adversarial Networks
(University of Missouri--Kansas City, 2018)Recommender systems have become increasingly popular by providing a wide range of products with a variety of styles. This trend has resulted in consumers expecting more intelligent and highly dynamic recommenders. The ... -
SAF-DL: Semantic Analysis Framework for Deep Learning Open Source Projects
(University of Missouri--Kansas City, 2018)There are a lot of open source projects available on the internet. Specifically, due to the increasing interest of Deep Learning (DL), the number of DL open source projects is also increased. This project is motivated ... -
Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images
(University of Missouri--Kansas City, 2018)In recent years, Deep Learning (DL) has shown promising results with regard to conducting AI tasks such as computer vision and speech recognition. Specifically, DL demonstrated the state-of-the-art in computer vision ... -
Framework for Automatic Identification of Paper Watermarks with Chain Codes
(University of Missouri--Kansas City, 2017)In this dissertation, I present a new framework for automated description, archiving, and identification of paper watermarks found in historical documents and manuscripts. The early manufacturers of paper have introduced ... -
Point Cloud Compression and Low Latency Streaming
(University of Missouri--Kansas City, 2017)With the commoditization of the 3D depth sensors, we can now very easily model real objects and scenes into digital domain which then can be used for variety of application in gaming, animation, virtual reality, immersive ... -
Context Based Multi-Image Visual Question Answering (VQA) in Deep Learning
(University of Missouri--Kansas City, 2017)Image question answering has gained huge popularity in recent years due to advancements in Deep Learning technologies and computer processing hardware which are able to achieve higher accuracies with faster processing ... -
One-Shot Learning Model for Cancer Diagnosis from Histopathological Images
(University of Missouri--Kansas City, 2017)Cancer diagnosis from tissue biomarker scoring is a vital technique used in determining type and grade of cancer. This is a significant part of workload for pathologists, the process is tedious, time consuming, subjective, ... -
Topic-Based Video Classification and Retrieval Using Machine Learning
(University of Missouri--Kansas City, 2017)Machine learning has made significant progress for many real-world problems. The Deep Learning (DL) models proposed primarily concentrate on object detection, image classification, and image captioning. However, very ... -
Study of QoE for DASH at Sub-representational Level
(University of Missouri--Kansas City, 2017)Dynamic Adaptive Streaming over HTTP has become the most commonly used technology in video streaming. It enables the player to adapt to the bitrate of the video while streaming to ensure continuous playback. DASH ... -
H3DNET: A Deep Learning Framework for Hierarchical 3D Object Classification
(University of Missouri--Kansas City, 2017)Deep learning has received a lot of attention in the fields such as speech recognition and image classification because of the ability to learn multiple levels of features from raw data. However, 3D deep learning is ... -
Adaptive Routing Using SDN and NFV
(University of Missouri--Kansas City, 2017)In recent times, the primary focus of every ISP is to deliver high quality of service for multimedia applications. Due to ever-increasing network traffic, it is challenging for ISPs to accomplish optimal network ... -
Advanced Design and Analysis of UWB U-slot Microstrip Patch Using Theory of Characteristic Modes
(University of Missouri--Kansas City, 2017)Ultra wide band is rapidly advancing as a high data rate wireless communication technology. As is the case in conventional wireless communication systems, an antenna also plays a very crucial role in UWB systems. ...