Browsing Computer Science Doctoral Work by Title
Now showing items 1-20 of 59
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Adaptive Differential Evolution and its Application to Machine Vision
(North Dakota State University, 2016)Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach for solving hard optimization problems ubiquitously presented in real life. The inherent advantage of EA over other types of numerical ... -
Adaptive Regression Testing Strategies for Cost-Effective Regression Testing
(North Dakota State University, 2013)Regression testing is an important but expensive part of the software development life-cycle. Many different techniques have been proposed for reducing the cost of regression testing. To date, much research has been performed ... -
Addressing Challenges in Data Privacy and Security: Various Approaches to Secure Data
(North Dakota State University, 2021)Emerging neural networks based machine learning techniques such as deep learning and its variants have shown tremendous potential in many application domains. However, the neural network models raise serious privacy concerns ... -
Addressing Off-Nominal Behaviors in Requirements for Embedded Systems
(North Dakota State University, 2015)System requirements are typically specified on the assumption that the system's operating environment will behave in what is considered to be an expected and nominal manner. When gathering requirements, one concern is ... -
Analyses of People’s Perceptions Toward Risks in Genetically Modified Organisms
(North Dakota State University, 2016)This research aims to analyze people’s perceptions about the potential risks associated with the presence of genetically modified organisms (GMOs) in food products. We formulated research questions and hypotheses based on ... -
Assessment of Engineering Methodologies for Increasing CubeSat Mission Success Rates
(North Dakota State University, 2021)In the last twenty years, CubeSat Systems have gained popularity in educational institutions and commercial industries. CubeSats have attracted educators and manufacturers due to their ability to be quickly produced and ... -
Automated Framework to Improve User’s Awareness and to Categorize Friends on Online Social Networks
(North Dakota State University, 2015)The popularity of online social networks has brought up new privacy threats. These threats often arise after users willingly, but unwittingly reveal their information to a wider group of people than they actually intended. ... -
Computational Methods for Predicting Protein-Nucleic Acids Interaction
(North Dakota State University, 2015)Since the inception of various proteomic projects, protein structures with unknown functions have been discovered at a fast speed. The proteins regulate many important biological processes by interacting with nucleic acids ... -
A Data Mining Approach to Radiation Hybrid Mapping
(North Dakota State University, 2014)The task of mapping markers from Radiation Hybrid (RH) mapping experiments is typically viewed as equivalent to the traveling-salesman problem, which has combinatorial complexity. As an additional problem, experiments ... -
Deception in Cyberspace: Con-Man Attack in Cloud Services
(North Dakota State University, 2018)A con-man deception appears in services from cyberspace, e.g., in cloud services. A cloud-service provider deceives by repeatedly providing less service than promised and deliberately avoids service monitoring. Such a ... -
Decision-Making for Self-Replicating 3D Printed Robot Systems
(North Dakota State University, 2021)This work addresses decision-making for robot systems that can self-replicate. With the advent of 3D printing technology, the development of self-replicating robot systems is more feasible to implement than it was previously. ... -
Detecting Insider and Masquerade Attacks by Identifying Malicious User Behavior and Evaluating Trust in Cloud Computing and IoT Devices
(North Dakota State University, 2019)There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. ... -
Developing and Validating Active Learning Engagement Strategies to Improve Students' Understanding of Programming and Software Engineering Concepts
(North Dakota State University, 2020)Introductory computer programming course is one of the fundamental courses in computer science. Students enrolled in computer science courses at the college or university have been reported to lack motivation, and engagement ... -
Development and Validation of Feedback-Based Testing Tutor Tool to Support Software Testing Pedagogy
(North Dakota State University, 2020)Current testing education tools provide coverage deficiency feedback that either mimics industry code coverage tools or enumerates through the associated instructor tests that were absent from the student’s test suite. ... -
A Distributed Linear Programming Model in a Smart Grid
(North Dakota State University, 2013)Advances in computing and communication have resulted in large-scale distributed environments in recent years. They are capable of storing large volumes of data and, often, have multiple compute nodes. However, the inherent ... -
Domain Ontology Based Detection Approach to Identify Effect Types of Security Requirements upon Functional Requirements
(North Dakota State University, 2015)Requirements engineering is a subfield of software engineering that is concerned with analyzing software requirements specifications. An important process of requirement engineering is tracing requirements to investigate ... -
Effective Regression Testing of Web Applications through Reusability of Resources
(North Dakota State University, 2018)Regression testing is one of the most important and costly phases of a software development project. Regression testing is performed to ensure no new faults are introduced due to changes in a software. Web applications ... -
Extracting Useful Information and Building Predictive Models from Medical and Health-Care Data Using Machine Learning Techniques
(North Dakota State University, 2020)In healthcare, a large number of medical data has emerged. To effectively use these data to improve healthcare outcomes, clinicians need to identify the relevant measures and apply the correct analysis methods for the type ... -
Foundational Algorithms Underlying Horizontal Processing of Vertically Structured Big Data Using pTrees
(North Dakota State University, 2016)For Big Data, the time taken to process a data mining algorithm is a critical issue. Many reliable algorithms are unusable in the big data environment due to the fact that the processing takes an unacceptable amount of ... -
Fuzzy Reasoning Based Evolutionary Algorithms Applied to Data Mining
(North Dakota State University, 2015)Data mining and information retrieval are two difficult tasks for various reasons. First, as the volume of data increases tremendously, most of the data are complex, large, imprecise, uncertain or incomplete. Furthermore, ...