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The Airline Industry: How the Pandemic Has and Continues to Reshape the Industry as We Know It

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September 11th, 2001 was a day that affected everyone. The world came to a stop. The aviation industry was affected, and the national airspace system was closed for a few days. The events that occurred on that specific day enacted changes that affect the industry to this day. This paper…

September 11th, 2001 was a day that affected everyone. The world came to a stop. The aviation industry was affected, and the national airspace system was closed for a few days. The events that occurred on that specific day enacted changes that affect the industry to this day. This paper analyzes some of the changes that were made and discusses some of the changes the industry is going through again, about 20 years after the events on September 11th. The coronavirus pandemic has changed the way we all live our daily lives and aviation is not exempt. Changes to aircraft cleaning procedures, boarding processes, and seat design have all been ways the industry has gone through changes. The results of a potential recovery as well as the long-term changes are discussed.
ContributorsPomerantz, Spencer (Author) / Niemczyk, Mary (Thesis director) / Pearson, Michael (Committee member) / Aviation Programs (Contributor, Contributor, Contributor) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05

With Great Power Comes Great Responsibility: Uses and Applications of Machine Learning in Commercial Aviation, A Literature Review

Description
This Honors thesis was written in partial fulfillment of the requirements for a Bachelor of Science in Human Systems Engineering with Honors. The project consists of a literature review that explores the uses and applications of Machine Learning and Artificial Intelligence techniques in the field of commercial aviation. After a…

This Honors thesis was written in partial fulfillment of the requirements for a Bachelor of Science in Human Systems Engineering with Honors. The project consists of a literature review that explores the uses and applications of Machine Learning and Artificial Intelligence techniques in the field of commercial aviation. After a brief introduction and explanation of the most commonly used algorithms in the field of aviation, it explores the applications of Machine Learning techniques for risk reduction, and for the betterment of in-flight operations, and pilot selection, training, and assessment.
ContributorsInderberg, Laura (Author) / Gray, Robert (Thesis director) / Demir, Mustafa (Committee member) / Barrett, The Honors College (Contributor) / Human Systems Engineering (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-12