Browsing by Thesis Department "Computer Science (UMKC)"
Now showing items 1-20 of 159
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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 ... -
A Hardware/Software Co-integration Approach for Securing Network Infrastructure using Reconfigurable Computing
(2022)In the last two decades, there has been a rapid proliferation of connected devices spanning various application domains. Coupled with the rise of novel computer networking paradigms, such as Internet-of-Things (IoT), edge ... -
A Method for Identification of Pancreatic Cancer through Methylation Signatures in Cell-Free DNA
(2022)Pancreatic cancer has high mortality rates in comparison to other cancers due to limited treatment options and challenges in detecting the disease. Early diagnosis is difficult; successful outcomes are directly tied to ... -
A Novel Deep Learning-Based Framework for Context Aware Semantic Segmentation in Medical Imaging
(2023)Deep learning has an enormous impact on medical image analysis. Many computer-aided diagnostic systems equipped with deep networks are rapidly reducing human intervention in healthcare. Among several applications, medical ... -
Achieving Optimal Schedule by Network Flow Techniques
(2015-08-11)Scheduling plays an important role in protocol design and performance optimizations for wireless or wired networks. This dissertation studies how to achieve optimal performance for two fundamental scheduling problems ... -
Active Mobile Interface for smart health
(2013)Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many ... -
Advanced Orthogonal Frequency-Division Multiplexing Systems with Cyclic Prefix-Less Multiple-Input and Multiple-Output Discrete Fourier Transform Spreading and Unmanned Aerial Vehicles-Assisted Cyclic Postfixed Windowed Schemes
(2023)In the proper designing of spectrally efficient 5th Generation (5G)/Beyond 5G (B5G) systems, minimization of Peak-to-Average Power Ratio (PAPR) of the time domain Orthogonal Frequency-Division Multiplexing (OFDM)/Cyclic ... -
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 ... -
Algorithms on Majority Problem
(University of Missouri--Kansas City, 2017)The main idea of the paper to give solutions to the majority problem where we are counting the number of occurrences of the majority element more than half of the total number of the elements in the input set and also ... -
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 ... -
An Arbitrary CRCW PRAM Algorithm for Sorting Integers Into a LinkedList and Chaining on a Trie
(2020)The research work comprises of two parts. Part one is using an Arbitrary CRCW PRAM algorithm for sorting integers into a linked list. There are various algorithms and techniques to sort the integers in LinkedList. Arbitrary ... -
Anonymous Multicast Communication for Wireless Networks Using Layered Encryption and Hashing
(University of Missouri--Kansas City, 2010)A sensor network consists of autonomous sensors that operate cooperatively to monitor sensitive information in various environments. A sensor node often sends the information to the base node(s). The base nodes contain the ... -
Application-Aware Network Design Using Software Defined Networking for Application Performance Optimization for Big Data and Video Streaming
(University of Missouri--Kansas City, 2017)This dissertation investigates improvement in application performance. For applications, we consider two classes: Hadoop MapReduce and video streaming. The Hadoop MapReduce (M/R) framework has become the de facto standard ... -
AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks
(2020)In recent years, there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral ... -
Automated End-to-End Management of the Deep Learning Lifecycle
(2020)Deep learning has improved the state-of-the-art results in an ever-growing number of domains. This success heavily relies on the development of deep learning models--an experimental, iterative process that produces tens ... -
Automated Prediction of Hepatic Arterial Stenosis
(University of Missouri--Kansas City, 2017)Several thousand life-saving liver transplants are performed each year. One of the causes of early transplant failure is arterial stenosis of the anastomotic junction. Early detection of transplant arterial stenosis ... -
Automated Software to Count Stains in Immunostaining Applications
(University of Missouri -- Kansas City, 2019)Quantification of cells from immunostained images is a vital procedure in biomedical analysis, as it helps in the measurement of proliferation, immunodetection and differentiation of nuclear markers, which in turn play ... -
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 ... -
Building a Knowledge Graph for Food, Energy, and Water Systems
(University of Missouri--Kansas City, 2017)A knowledge graph represents millions of facts and reliable information about people, places, and things. Several companies like Microsoft, Amazon, and Google have developed knowledge graphs to better customer experience. ... -
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). ...