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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 ...
Identifying & Analyzing Security Vulnerabilities While Integration of Data from Cloud to SQL DBMS An Industrial Case Study
(North Dakota State University, 2020)
Data integration defines propulsion of data from numerous sources into a database system in a way that yields the information representing powerful analytics. Various industries are always working towards keeping 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 ...
On the Applicability of Deep Metric Learning to Address Source Code Authorship Attribution Problem under Simulated Real-world Constraints
(North Dakota State University, 2020)
Source code authorship attribution is a widely studied research topic in the information security domain. In this dissertation, we develop and evaluate models that enable us to solve source code authorship attribution using ...
Alexa, What Should I Eat? A Personalized Virtual Nutrition Coach for Native American Diabetes Patients Using Amazon's Smart Speaker Technology
(North Dakota State University, 2020)
Among all other ethnic groups in the USA, native American’s have higher chances of developing diabetes. A lot of tools have been developed to address this issue and help them in managing diabetes. However, these tools fail ...
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. ...
Vertical Data Structures and Computation of Sliding Window Averages in Two-Dimensional Data
(North Dakota State University, 2020)
A vertical-style data structure and operations on data in that structure are explored and tested in the domain of sliding window average algorithms for geographical information systems (GIS) data. The approach allows working ...
Image Classification Using Transfer Learning and Convolution Neural Networks
(North Dakota State University, 2020)
In the recent years, deep learning has shown to have a formidable impact on image classification and has bolstered the advances in machine learning research. The scope of image recognition is going to bring big changes in ...
Brain Cancer Detection Using MRI Scans
(North Dakota State University, 2020)
An estimate of about 700,000 Americans today live with a brain tumor. Of these, 70% are benign and 30% are malicious. The average survival rate of all the malicious brain tumor patients is 35%. Diagnosing these tumors early ...