A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector
| dc.contributor.author | Jegadeeswari, G. | |
| dc.contributor.author | Kirubadurai, B. | |
| dc.contributor.author | Jaganraj, R. | |
| dc.contributor.author | Thangarasu, Vinoth [UNESP] | |
| dc.contributor.editor | K. Sathish Kumar, R. Naren Shankar | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | pt |
| dc.date.accessioned | 2026-07-22T17:39:27Z | |
| dc.date.issued | 2025-09-30 | |
| dc.description.abstract | Airlines 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.affiliation | Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai, India | |
| dc.description.affiliation | Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India | |
| dc.description.affiliation | Laboratory of Combustion and Carbon Capture, Department of Chemistry and Energy, UNESP‐FEG, Guaratinguetá, SP, Brazil | |
| dc.description.affiliationUnesp | Laboratory of Combustion and Carbon Capture, Department of Chemistry and Energy, UNESP‐FEG, Guaratinguetá, SP, Brazil | |
| dc.identifier | https://app.dimensions.ai/details/publication/pub.1193396777 | |
| dc.identifier.bookDoi | 10.1002/9781394268795 | |
| dc.identifier.dimensions | pub.1193396777 | |
| dc.identifier.doi | 10.1002/9781394268795.ch10 | |
| dc.identifier.isbn | 9781394268764 | |
| dc.identifier.isbn | 9781394268795 | |
| dc.identifier.orcid | 0000-0002-4658-7447 | |
| dc.identifier.uri | https://hdl.handle.net/11449/328407 | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Artificial Intelligence Applications in Aeronautical and Aerospace Engineering | |
| dc.rights.accessRights | Acesso restrito | pt |
| dc.rights.sourceRights | closed | |
| dc.source | Dimensions | |
| dc.title | A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector | |
| dc.title.alternative | Current Trends, Opportunities, and Challenges | |
| dc.type | Capítulo de livro | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | a4071986-4355-47c3-a5a3-bd4d1a966e4f | |
| relation.isOrgUnitOfPublication.latestForDiscovery | a4071986-4355-47c3-a5a3-bd4d1a966e4f | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Engenharia e Ciências, Guaratinguetá | pt |

