Computer Science Masters Theses: Recent submissions
Now showing items 21-40 of 93
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Multi-Teacher Knowledge Distillation Using Teacher's Domain Expertise
(North Dakota State University, 2022)Large BERT models cannot be used with low computing power and storage capacity. Knowledge Distillation solves this problem by distilling knowledge into a smaller BERT model while retaining much of the teacher’s accuracy ... -
Analysis of Java's Common Vulnerabilities and Exposures in GitHub's Open-Source Projects
(North Dakota State University, 2022)Java developers rely on code reusability because of its time and effort reduction advantage. However, they are exposed to vulnerabilities in publicly available open-source software (OSS) projects. This study employed a ... -
Sentiment Analysis of COVID-19 Vaccination Impact on Twitter Tweets Using NLP Supervised Learning and RNN Classification Comparison
(North Dakota State University, 2022)Twitter provides a platform for exchanging information and opinions on global concerns like the COVID-19 epidemic. During the COVID-19 pandemic, we used a collection of around 16,180 tweets to derive inferences regarding ... -
Data Replication Strategies in Cloud Computing
(North Dakota State University, 2011)Data replication is a widely used technique in various systems. For example, it can be employed in large-scale distributed file systems to increase data availability and system reliability, or it can be used in many network ... -
Attacking the Messenger: Exploring the Security of Big Data Messenger Apache Kafka
(North Dakota State University, 2021)As technology becomes faster, cheaper, and more compact, a higher volume of data must be processed. This demand drives the need to process high volumes of data in near real time. As a result, technologies such as Kafka ... -
Deep Learning Applied to Public Company Valuation for Value Investing
(North Dakota State University, 2021)Value investing is an investing approach that seeks to discover and take advantage of price discrepancies between the market price and the actual value of a company (intrinsic value). The purpose of this work is to measure ... -
Next Location Prediction Model: A Geohashed Based Recurrent Neural Network
(North Dakota State University, 2021)This work investigates the significance of choosing appropriate recurrent neural networks (RNNs) architecture for a spatiotemporal next location prediction framework. Dockless shared micro-mobility sharing programs provide ... -
Development of an Algorithm for Detection and Recovery of Corruption in Convolutional Neural Networks Data Storage
(North Dakota State University, 2021)Computer vision based applications are commonly utilized in embedded systems. The demand for higher accuracy leads to increased complexity of convolutional neural networks (CNN) and hence, larger storage requirement for ... -
Building Plant 3D Genome Computing Resources
(North Dakota State University, 2021)Chromatin interactions play increasingly important roles in three-dimensional genome organization and long-range gene regulation. Analyzing the three-dimensional structure of the plants is currently a growing field and we ... -
Recommending Whom to Follow on GitHub
(North Dakota State University, 2021)Social networking activities on GitHub allow the construction of interesting interaction networks. One such network is `follow-network' which enables an effective information dissemination process. As a result, GitHub users ... -
Intrusion Detection With an Autoencoder and ANOVA Feature Selector
(North Dakota State University, 2021)Intrusion detection systems are systems that aim at identifying malicious activities or violation of policies in a network. The problem of high dimensionality in intrusion detection systems is a barrier in processing data ... -
Development and Validation of a Library for Iterative Window-Based Processing of Geospatial Data
(North Dakota State University, 2021)High-resolution spectral images and digital elevation models are widely available. With this quantity of data, it is imperative to develop fast algorithms to extract information. We present a Python library that implements ... -
Image Registration and Fusion Application
(North Dakota State University, 2021)Image Registration and Fusion is a process of manipulating two or more input images through a combination of geometric transformation operations and fusion rules to obtain the information from the input images into one ... -
Comparative Analysis of Interface Usability for Cybersecurity Applications
(North Dakota State University, 2021)In cybersecurity, understanding the technologies and the best ways to interface with them is paramount for staying ahead of growing cyberthreats. Developers of cybersecurity software will benefit greatly from a greater ... -
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 ... -
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 ... -
Mining Approximate Frequent Dense Modules from Multiple Gene Expression Datasets
(North Dakota State University, 2021)Large amount of gene expression data has been collected for various environmental and biological conditions. Extracting dense modules that are recurrent in multiple gene coexpression networks has been shown to be promising ... -
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 ... -
Mobile Health Application for Diabetes Self-Management
(North Dakota State University, 2020)As mobile healthcare applications are becoming more and more popular, it brings patients a more convenient way to self-management and communicating remotely compare to the traditional healthcare system. This paper introduces ... -
Alexa for Health Practitioners
(North Dakota State University, 2020)Many industries, including healthcare, are trying to take advantage of voice assistant systems by incorporating their technology into the industries’ environment. However, not many companies or researchers have successfully ...