Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Interaction Effects And Selecting Regression Models Of Taylor Swift Song Popularity, Halle Schneidewind
Interaction Effects And Selecting Regression Models Of Taylor Swift Song Popularity, Halle Schneidewind
Industrial Engineering Undergraduate Honors Theses
Understanding music popularity and what drives it is important not only for artists but for other individuals who are financially tied to music sales including producers, writers, and record labels. Studies have been done to define how a song’s popularity can be measured, what attributes or features are drivers for popularity, and to what extent can a song’s popularity even be predicted. This paper takes two linear regression approaches to predicting the popularity of a Taylor Swift song on Spotify based on auditory features the Spotify API estimates and historic popularity of songs on Spotify. One model takes into consideration …
Detecting Pathobiomes Using Machine Learning, Valerie Jackson, Valerie Jackson
Detecting Pathobiomes Using Machine Learning, Valerie Jackson, Valerie Jackson
Industrial Engineering Undergraduate Honors Theses
Machine learning is a field with high growth potential due to the overall continuous progressions, developments, advancements, and improvements caused by the way it is used to help interpret and use large amounts of data [1]. One type of data that can be collected and analyzed by these machine learning models is data that is associated with DNA and information that the DNA gives. The research will be focusing specifically on using machine learning technology to detect pathobiomes indicative of salmonella pork. The pathobiome associated with salmonella is very similar to others, and this causes a problem for classification/detection with …
The Impact Of A Carbon Tax On Emissions, Jessica Creech
The Impact Of A Carbon Tax On Emissions, Jessica Creech
Industrial Engineering Undergraduate Honors Theses
A carbon tax is an economic policy that aims to reduce various emissions to serve the protection of the environment. Versions of this policy have been implemented in multiple countries across the world to introduce a cost for contributing to environmental damage. Since climate change is prevalent in today’s world, finding an effective method to reduce emissions is essential. However, many countries hesitate to utilize a carbon tax for two reasons. First, they are unsure if the carbon tax is effective at reducing emissions. Second, there is a concern that the implementation of such a tax will be detrimental to …
Testing The Effects Of Different Designs On The Physical Properties Of 3d-Printed Watch Bands, Ross Harper
Testing The Effects Of Different Designs On The Physical Properties Of 3d-Printed Watch Bands, Ross Harper
Industrial Engineering Undergraduate Honors Theses
Technological innovation progresses at an ever-increasing rate, and this is especially true in the field of 3D-printing. 3D-printing has become popular in manufacturing settings and among amateur hobbyists alike, largely because 3D-printers can fabricate an enormous number of designs from an array of materials and allow for fine-tuning through several setting options. Individuals with proficient 3D-printing abilities can produce a nearly infinite number of components for diverse applications in manufacturing, recreation, ergonomics, and many more. Some individuals use their skills to create functional substitutes for name-brand items, including bands to fit and be worn with a smart watch. However, little …
Automated Visualization Pipeline For Near Real-Time Risk Management System, Paris Joslin
Automated Visualization Pipeline For Near Real-Time Risk Management System, Paris Joslin
Industrial Engineering Undergraduate Honors Theses
In modern society, technological capabilities and the amount of data readily available to users continue to grow exponentially. Many have adopted these new capabilities but lack the infrastructure needed to efficiently utilize high-powered software and programs. Without a method to collect, store, and process large datasets in real-time, individuals and businesses can quickly become overwhelmed, inhibiting effective decision-making processes. There is potential to improve decision-making abilities by enhancing the computing infrastructure. To accomplish this task, we will explore the ideas surrounding High Performance Computing (HPC) and data visualization software. High Performance Computing is the ability to process data and perform …