Since the phenomenal success of deep neural networks (DNNs) on image classification, the research community have been developing wider and deeper networks with complex components for a variety of visual understanding tasks. While such "heavy" models achieve excellent performance, they pose two main challenges: (1) the training requires a…

This quantitative correlational study investigated the potential impact of technostress on rural high school teacher burnout. The purpose of this study was to determine the possible correlations between the five techno-stressors that make up technostress and the burnout experienced by rural Arkansas high school teachers. The person-environment fit…

Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…

Higher music education presents a unique opportunity to examine change within higher education due to the digital revolution in the music industry over the past two decades. The purpose for conducting this study was to describe, map, and explain the strategies that higher music education programs are using to adapt to the digital revolution in the…

The large flood of data flowing from observatories presents significant challenges to astronomy and cosmology--challenges that will only be magnified by projects currently under development. Growth in both volume and velocity of astrophysics data is accelerating: whereas the Sloan Digital Sky Survey (SDSS) has produced 60 terabytes of data in the…

Digital products are rapidly shaping our world into a ubiquitous computing world. Because of its unique characteristics, digital artifacts are generative and highly evolving through the recombination of existing elements as well as by the invention of new elements. In this thesis, I first propose an evolutionary view to examine how digital…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old…

The speech of non-native (L2) speakers of a language contains phonological rules that differentiate them from native speakers. These phonological rules characterize or distinguish accents in an L2. The Shibboleth program creates combinatorial rule-sets to describe the phonological pattern of these accents and classifies L2 speakers into their…

The information visualization pipeline serves as a lossy communication channel for presentation of data on a screen-space of limited resolution. The lossy communication is not just a machine-only phenomenon due to information loss caused by translation of data, but also a reflection of the degree to which the human user can comprehend visual…

Classification, clustering and association mining are major tasks of data mining and have been widely used for knowledge discovery. Associative classification mining, the combination of both association rule mining and classification, has emerged as an indispensable way to support decision making and scientific research. In particular, it offers a…

Increasing use of the Internet has led to a proliferation of online communication and information sharing media. These media, each with its own set of affordances and limitations, are thought to encourage new ways to communicate. Interlocutors refashion general English into abbreviated and often pictographic representations of existing concepts.…

This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms,…

As the violence in the Mexican drug war escalates, a proliferation of social media sites about drug trafficking in Mexico was followed by the murder of some of their users, and the eventual disappearance of many of those sites. Despite these events, there still exist a number of drug-dealing related social media outlets in this country with a…

The purpose of this dissertation is to examine information systems-enabled interorganizational collaborations called public safety networks--their proliferation, information systems architecture, and technology evolution. These networks face immense pressures from member organizations, external stakeholders, and environmental contingencies. This…