Browsing Computer Science Masters Theses by Issue Date
Now showing items 61-80 of 89
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In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark
(North Dakota State University, 2018)Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the ... -
Software Metrics Tool
(North Dakota State University, 2018)In the current world software applications are becoming more important with each passing day. They are present in all walks of life and it’s difficult to imagine a world without them. It’s a part of every known industry ... -
Image Processing for White Line Detection in a Grassy Field
(North Dakota State University, 2019)Image processing for object detection and decision making based on the observed remains a challenge today. As participants in the Intelligent Ground Vehicle Competition in 2018 and 2019, we were tasked to build an autonomous ... -
Application of Memory-Based Collaborative Filtering to Predict Fantasy Points of NFL Quarterbacks
(North Dakota State University, 2019)Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender ... -
Exploring Frameworks for Rapid Visualization of Viral Proteins Common for a Given Host
(North Dakota State University, 2019)Viruses are unique organisms that lack the protein machinery necessary for its propagation (like polymerase) yet possess other proteins that facilitate its propagation (like host cell anchoring proteins). This study explores ... -
The Design of Virtual Reality Based Data Visualization and User Interface Design in a Semi-Automated Cyber-Security Research Application
(North Dakota State University, 2019)Virtual Reality is currently an affordable and consumer ready technology used by many in the games and interactive media industry, however unlike the user interface standards in mobile, PCs, and Macs, VR UI design can vary ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...