Browsing University of Missouri-Kansas City by Thesis Department "Computer Science (UMKC)"
Now showing items 1-20 of 103
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
Characterizing Road Conditions via Smart Mobile Crowd Sourcing
(University of Missouri -- Kansas City, 2019)Bad road conditions can cause vehicle damage and create hazardous driving conditions. Current reporting methods for bad road conditions is a burden for the reporter, so much so that these conditions might not be ... -
Classification of Clinical Tweets Using Apache Mahout
(2015)There is an increasing amount of healthcare related data available on Twitter. Due to Twitter’s popularity, every day large amount of clinical tweets are posted on this microblogging service platform. One interesting ... -
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 ... -
Context-Aware Adaptive Model for Smart Energy
(2013)Building energy awareness and providing feedback on energy use is a vital component in transforming the behavior of individuals and communities towards a more efficient use of electric power. An enormous amount of energy ... -
Coupon Redemption System
(2015)A number of trends in e-commerce have become evident in recent years. Online storefronts have proliferated, and advertisements for these storefronts in the form of click through banners have become popular. Recently, the ... -
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 ... -
CSISE: cloud-based semantic image search engine
(2014-03-27)Due to rapid exponential growth in data, a couple of challenges we face today are how to handle big data and analyze large data sets. An IBM study showed the amount of data created in the last two years alone is 90% of the ... -
Data center resource management with temporal data center resource management with temporal dynamic workload
(University of Missouri--Kansas City, 2012-06-19)The proliferation of Internet services drives the data center expansion in both size and the number. More importantly, the energy consumption (as part of total cost of ownership (TCO)) has become a social concern. When ... -
A data driven semantic framework for clinical trial eligibility criteria
(University of Missouri--Kansas City, 2012-01-17)An important step in the discovery of new treatments for medical conditions is the matching of potential subjects with appropriate clinical trials. Eligibility criteria for clinical trials are typically specified in free ... -
A data mining study of g-quadruplexes and their effect on DNA replication
(University of Missouri--Kansas City, 2012-05-25)G-quadruplexes are guanine rich sequences of DNA that can form non-Watson-Crick four stranded structures. They have been found to exist in various regions of the genome and are believed to play a biological role. We ... -
A Data mining study of ranking within social networks
(2014-08-27)Social networks have become very popular in the past few years and have become a significant part of our personal and professional lives. As the number of participants in social networks has grown, they have become a ... -
Data Structures and Algorithms for Partitioning a Set into Sets of Non-Descending Cardinality
(2015)Data structures have been around since the structured programming era. Algorithms often associate with data structures. An algorithm is a sequence of instructions that accomplishes a task in a finite time period. The ...