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A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector

dc.contributor.authorJegadeeswari, G.
dc.contributor.authorKirubadurai, B.
dc.contributor.authorJaganraj, R.
dc.contributor.authorThangarasu, Vinoth [UNESP]
dc.contributor.editorK. Sathish Kumar, R. Naren Shankar
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)pt
dc.date.accessioned2026-07-22T17:39:27Z
dc.date.issued2025-09-30
dc.description.abstractAirlines play a significant role in the expansion of the world economy as they send out about one third of all trade in terms of value. Despite the uncertainty that surrounded the sector during the final two years of the epidemic, it has recently picked up momentum as a result of technology improvements. Therefore, it is accurate to state that the new technology period has had a significant influence on the aviation industry in 2023. The evaluations mainly focus on natural intelligence in order to inspire the development of aeronautical systems. When combined with cutting‐edge AI and machine learning methods, mixed reality can handle massive amounts of aviation data with ease, assisting in the industry's decision‐making processes. This chapter highlights the most recent uses of mixed reality in the realm of intelligent aviation. The promise and difficulties of combining cutting‐edge artificial intelligence and machine learning methods with mixed reality in the aviation sector are examined in this article. This chapter focuses on how integrated mixed reality might be used in smart aircraft to raise the standard and dependability of product design, maintenance, and training. This chapter concludes with an overview of airline reactions to the COVID‐19 pandemic using digital media.
dc.description.affiliationDepartment of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai, India
dc.description.affiliationDepartment of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
dc.description.affiliationLaboratory of Combustion and Carbon Capture, Department of Chemistry and Energy, UNESP‐FEG, Guaratinguetá, SP, Brazil
dc.description.affiliationUnespLaboratory of Combustion and Carbon Capture, Department of Chemistry and Energy, UNESP‐FEG, Guaratinguetá, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1193396777
dc.identifier.bookDoi10.1002/9781394268795
dc.identifier.dimensionspub.1193396777
dc.identifier.doi10.1002/9781394268795.ch10
dc.identifier.isbn9781394268764
dc.identifier.isbn9781394268795
dc.identifier.orcid0000-0002-4658-7447
dc.identifier.urihttps://hdl.handle.net/11449/328407
dc.publisherWiley
dc.relation.ispartofArtificial Intelligence Applications in Aeronautical and Aerospace Engineering
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleA Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector
dc.title.alternativeCurrent Trends, Opportunities, and Challenges
dc.typeCapítulo de livropt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa4071986-4355-47c3-a5a3-bd4d1a966e4f
relation.isOrgUnitOfPublication.latestForDiscoverya4071986-4355-47c3-a5a3-bd4d1a966e4f
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia e Ciências, Guaratinguetápt

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