Browsing Computer Science Doctoral Work by Issue Date
Now showing items 41-60 of 65
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Using Human Error Models to Improve the Quality of Software Requirements
(North Dakota State University, 2018)Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults ... -
Mining Structure Patterns Based on 3D Features in the Protein-DNA and Protein-protein Complex
(North Dakota State University, 2018)For a long time, researchers have been searching for the “recognition codes” of protein complexes, which determine what DNA sequence or other protein a protein can bind to. The binding part prediction of protein complexes ... -
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 ... -
Stock Prediction Analyzing Investor Sentiments
(North Dakota State University, 2018)We are going through a phase of data evolution where a major portion of the data from our daily lives is now been stored on social media platforms. In recent years, social media has become ubiquitous and important for ... -
Mining Interesting Subnetworks from Graphs with Node Attributes
(North Dakota State University, 2018)A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ... -
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. ... -
Using Machine Learning and Graph Mining Approaches to Improve Software Requirements Quality: An Empirical Investigation
(North Dakota State University, 2019)Software development is prone to software faults due to the involvement of multiple stakeholders especially during the fuzzy phases (requirements and design). Software inspections are commonly used in industry to detect ... -
Using Cyberlearning Environment to Improve Student’s Learning and Engagement in Introductory Computer Programming Courses
(North Dakota State University, 2019)All Computer Science majors are required to take introductory programming (CS1) as a fundamental course which has a high dropout rate. Researchers report that CS1 students lack motivation and need constant resource support. ... -
Scalable Particle Swarm Optimization and Differential Evolution Approaches Applied to Classification
(North Dakota State University, 2019)Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden ... -
User-Behavior Trust Modeling in Cloud Security
(North Dakota State University, 2019)With the cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks is increasing. Security is a basic concern in cloud computing, and threats ... -
Incorporating Sliding Window-Based Aggregation for Evaluating Topographic Variables in Geographic Information Systems
(North Dakota State University, 2019)The resolution of spatial data has increased over the past decade making them more accurate in depicting landform features. From using a 60m resolution Landsat imagery to resolution close to a meter provided by data from ... -
Trust and Anti-Autonomy Modelling of Autonomous Systems
(North Dakota State University, 2020)Human trust in autonomous vehicles is built upon their safe and secure operability in the most ethical, law abiding manner possible. Despite the technological advancements that autonomous vehicles are equipped with, their ... -
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 ... -
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 ... -
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. ... -
Blockchain-Based Trust Model: Alleviating the Threat of Malicious Cyber-Attacks
(North Dakota State University, 2020)Online communities provide a unique environment where interactions performed among its subscribers who have shared interest. Members of these virtual communities are typically classified as trustworthy and untrustworthy. ... -
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 ... -
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. ... -
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 ... -
A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning
(North Dakota State University, 2021)Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ...