Computer Science Masters Papers
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Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants
(North Dakota State University, 2023)Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential ... -
Analysis of Image Classification Deep Learning Algorithm
(North Dakota State University, 2023)This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/r ... -
CHAPS Online
(North Dakota State University, 2022)This paper explores the application development phases of the online version of Cow Herd Appraisal Performance Software (CHAPS). Beef producers and Extension professionals have been using CHAPS since 1985 as a herd management ... -
Zero-Trust Architecture and Its Cost-Effectiveness on Network Security
(North Dakota State University, 2022)Zero-Trust Architecture (ZTA) is a ‘Never Trust, Always Verify’ concept to improve cybersecurity by eliminating trust and validating network requests continuously. ZTA replaces Virtual Private Networks (VPNs) and provides ... -
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 ... -
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 ... -
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 ... -
Investigating Super Learner on Healthcare Data Sets
(North Dakota State University, 2021)In the field of machine learning, classification is the essential task that predicts the target class or label for each sample in the data. Improving the performance of a classification model has been a challenging research ... -
Threat Identification from Access Logs Using Elastic Stack
(North Dakota State University, 2020)Access log management is an essential part of cybersecurity. Lack of insight into user authentication patterns can hinder readiness and reaction to the growing threat of cyberattacks. Central Authentication Service (CAS) ... -
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ... -
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ... -
Feature Engineering on the Cybersecurity Dataset for Deployment on Software Defined Network
(North Dakota State University, 2020)These days, due to dependency on the fast-moving world's modern technology, the increasing use of smart devices and the internet affect network traffic. Many intrusion detection studies concentrate on feature selection or ... -
A Realistic and Reliable Approach for Real Time Monitoring of Infrastructure
(North Dakota State University, 2020)Rapid advancements in the field of site reliability engineering in the past few decades have made it an indispensable part of how humans create scalable and highly reliable software systems. The inherent need of a reliable ... -
Credit Card Fraud Detection Predictive Modeling
(North Dakota State University, 2020)Finance fraud is a growing problem with consequences in the financial industry and data mining has been successfully applied to huge volume of complex financial datasets to automate and analyze credit card frauds in online ... -
Role of Bias in Information Warfare: Classifying Fake News Articles Using Natural Language Processing
(North Dakota State University, 2020)The way that people consume news, entertainment and media has been changed. The print media and even television have started to become obsolete. In this digital age, social media being the biggest news source for the masses ... -
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 ... -
Adaptive Mesh Refinment Applications for Adviction-Diffusion Problems Using Amrex
(North Dakota State University, 2020-06)In this paper we implemented an adaptive mesh refinement in high performance computing environment to study a wide range of problems in engineering. They are nonlinear Fisher-Kolmogorov equation, heat equation, advection ...
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