Computer Science: Recent submissions
Now showing items 81-100 of 409
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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 ... -
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 ... -
Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags
(North Dakota State University, 2022)This paper aims to compare and evaluate the methods for recommending songs using metadata, user generated tags, metadata and tags, and metadata and top five tags. Recommendations are calculated using cosine similarities ... -
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 ... -
Comparison of Non-Learned and Learned Molecule Representations for Catalyst Discovery
(North Dakota State University, 2022)Catalyst discovery is one very important task in storing renewable energy to address climate change and energy scarcity globally. Catalyst candidates can be represented by molecular descriptors and also can be modeled by ... -
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 ... -
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 ... -
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), ... -
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 ... -
Analyzing Three Different Tuning Strategies for Random Forest Hyperparameters for Fraud Detection
(North Dakota State University, 2021)Technology is advancing rapidly, and more tasks are becoming online than ever. Along with the benefits comes the disadvantages of this great advancement. While online services relieve from the struggle of in person activities, ... -
Comparison of Global and Local Particle Swarm Optimization
(North Dakota State University, 2021)Particle swarm optimization is a computational algorithm used to optimize a solution through sequential processing of particles using a specified estimation of quality. The algorithm is inspired by biological systems such ... -
Comparison Analysis of Classification Algorithms for Intrusion Detection
(North Dakota State University, 2021)As the Internet of Things becomes more prevalent in our lives, we are confronted with more security concerns. Network attacks have become more common in the cyber world these days. Denial of service, Prove, Remote to Local ... -
Covid-19 Face Cover Tracker Using Amazon Web Services
(North Dakota State University, 2021)Numerous studies have shown that wearing face covers and following other social distancing guidelines reduce community transmission of air borne diseases like COVID-19 during a pandemic. While public health administrators ...