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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 ...
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 ...
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 ...
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 ...
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. ...
Increasing the Predictive Potential of Machine Learning Models for Enhancing Cybersecurity
(North Dakota State University, 2021)
Networks have an increasing influence on our modern life, making Cybersecurity an important field of research. Cybersecurity techniques mainly focus on antivirus software, firewalls and intrusion detection systems (IDSs), ...
Heuristic Clustering with Secured Routing in Two Tier Sensor Networks
(North Dakota State University, 2013)
This study addresses the management of Heterogeneous Sensor Networks (HSNs) in an area of interest. The use of sensors in our day-to-day life has increased dramatically, and in ten to fifteen years the sensor nodes may ...