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@article{179145,
author = {Mr. Swyam Swarup and Mr. Aniket Gupta and Ms. Payal Raj and Ms. Nikki Singh and Ms. Meenakshi Dhyani and Ms. Jasneet kaur},
title = {Artificial intelligence applications in Aviation safety and operations},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {5742-5747},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=179145},
abstract = {The groundwork of aviation operations depends upon Artificial Intelligence because this technology both improves security protocols and operational performance. Operational changes in the aviation industry have become substantial due to analyst applications of AI across procedures and safety protocols. Artificial Intelligence technologies enable operators to predict planes need for maintenance while they control airspace to schedule procedures and automate cockpit instruments and create operational safety guidelines. AI patterns in data analysis create better decision outcomes that prevent human errors which maximize the safety of flights. The combination of real-time system tracking and fuel efficiency management adds great value to flight operations through artificial intelligence technology. Various AI systems aid aviation organizations to detect operational threats that later develop into safety incidents. AI applications in aviation undergo an initial evaluation process where operational benefits receive assessment together with safety considerations and tests about privacy protection and system complexity and regulatory compliance. Modern technology must align properly with protective safety standards to deliver advantages that benefit aviation operational priority. Artificial Intelligence technology holds potentials for developing safety-enhancing innovations that boost operational performance in flight operations.},
keywords = {Aviation, AI, Safety, Operations, Impact, Technology},
month = {May},
}
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