Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis
Semantic Scholar · Article (International Journal of Computational Intelligence Systems) · 937a7909e9f744a53186f008ca14d00218553c7a · Published 2024-11-12 · International Journal of Computational Intelligence Systems · 3 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and International Journal of Computational Intelligence Systems.
Abstract
The analysis discerns prominent research trends, including aviation accident analysis, pilot behavior, aviation safety measures, and endeavors to enhance safety standards, and highlights China’s notable contributions to aviation safety research.
Authors
- Gülay Demir
- Sarbast Moslem
- S. Duleba
Keywords
- Computer Science
- Engineering
Citation
Gülay Demir, Sarbast Moslem, S. Duleba (2024). Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis. International Journal of Computational Intelligence Systems. Semantic Scholar ID 937a7909e9f744a53186f008ca14d00218553c7a. https://doi.org/10.1007/s44196-024-00671-w ↗