Browsing University of Missouri-Kansas City by Thesis Department "Computer Science (UMKC)"
Now showing items 21-40 of 161
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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). ... -
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 ... -
Class Representative Projection for Text-based Zero-Shot Learning
(2020)There have been significant advances in supervised machine learning and enormous benefits from deep learning for a range of diverse applications. Despite the success of deep learning, in reality, very few works have shown ... -
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 ... -
Compression for Machine Vision and Beyond
(2020)Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms ... -
Constant Time Sorting and Searching
(2022)To study the sorting of real numbers into a linked list on Parallel Random Access Machine model. To show that input array of n real numbers can be sorted into a linked list in constant time using n²/logᶜn processors for ... -
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 ... -
Crosstalk computing: circuit techniques, implementation and potential applications
(2020)This work presents a radically new computing concept for digital Integrated Circuits (ICs), called Crosstalk Computing. The conventional CMOS scaling trend is facing device scaling limitations and interconnect bottleneck. ... -
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 ... -
A Data Science Approach to Extracting Insights About Cities and Zones Using Open Government Data
(University of Missouri--Kansas City, 2017)In this research, we introduce a system that utilizes open government data and machine learning algorithms to extract meaningful insights about cities and zones in the United States. It is estimated that 4% of the ... -
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 ... -
Data-Driven Modeling of the Lake Chad Basin Hydrologic Systems
(University of Missouri -- Kansas City, 2019)The drying of the Lake, located in Central Africa, is one example of a water crisis, which requires more research and studies. The lake has been progressively shrinking since the 1960s due to climate change and anthropogenic ... -
DBHAaaS – Database High Availability As A Service For Cloud Computing
(University of Missouri–Kansas City, 2016)On conventional database systems, the recovery manager applies transaction Undo or Redo operation or a combination of them to recover the last consistent state of the database from a system failure. Transaction redo, ...