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AI Application in the Aviation Sector

Mahmoud Abubakar, Odunlami EriOluwa, Mangai Teyei, Fadi Al‐Turjman

202212 citationsDOI

Abstract

Artificial intelligence has a wide range of uses in industries like business, health, education, and transportation. The aviation sector of the transportation business is not far behind; AI has several uses in this sector. Technology prognosis, applications, and projected market demand are the key subjects of this paper. The primary goal of this article is to provide more information on the use and management of artificial intelligence in the aviation industry and to assist readers in realizing the greater potential that AI can bring to the industry. The article also examines the growth that the sector underwent before and after the development of technology. The reader will also be sufficiently exposed to aviation technology. Examples that are pertinent to the topic will be used to illustrate how machine learning models are currently being used in the aviation industry. Machine learning affects the aviation business, especially the manufacturing sector, as it deals with the machine's learning process and mines the essential data to ensure that the work is completed effectively and efficiently. This report also discusses the fear that both current and future aviation specialists have regarding the desire for AI in aviation. This topic will also be critically examined.

Topics & Concepts

AviationAviation engineeringEngineeringProcess (computing)Business intelligenceComputer scienceEngineering managementArtificial intelligenceKnowledge managementCivil aviationOperating systemAerospace engineeringAir Traffic Management and OptimizationAerospace and Aviation TechnologySmart Systems and Machine Learning
AI Application in the Aviation Sector | Litcius