| dc.contributor.author | Tanisha malik, 19SLAM1020041 | |
| dc.contributor.author | Taranjeet, 19SLAM1020008 | |
| dc.contributor.author | Vishnu shandilya, 19SLAM1020010 | |
| dc.date.accessioned | 2022-08-02T04:56:32Z | |
| dc.date.available | 2022-08-02T04:56:32Z | |
| dc.date.issued | 2020-05 | |
| dc.identifier.uri | http://10.10.11.6/handle/1/9991 | |
| dc.description.abstract | The aim of this chapter is to research and fundamentally evaluate counterfeit
shrewd frameworks to recognize for outperforming human insight in the
flights and its conceivable ramifications. How artificial
intelligence (AI) makes current airship framework incorporates an assortment
of programmed control framework that guides the flight team in route, flight
administration and enlarging the security qualities of the plane, and how
building aircraft engine diagnostics ontology, air traffic management, and
constraint programming (CP) is useful in ATM setting. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | GALGOTIAS UNIVERSITY | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Interactive Fault Diagnosis and Isolation System (IFDIS) | en_US |
| dc.subject | Air Traffic Controllers (ATC) | en_US |
| dc.subject | BBA | en_US |
| dc.subject | AI in Aviation Industry | en_US |
| dc.subject | Aviation | en_US |
| dc.title | ARTIFICIAL INTELLIGENCE SYSTEM IN AVIATION | en_US |
| dc.type | Other | en_US |
