Computer Science: Recent submissions
Now showing items 101-120 of 409
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Scalable Particle Swarm Optimization and Differential Evolution Approaches Applied to Classification
(North Dakota State University, 2019)Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden ... -
User-Behavior Trust Modeling in Cloud Security
(North Dakota State University, 2019)With the cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks is increasing. Security is a basic concern in cloud computing, and threats ... -
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 ...