ARCHIVES
Original Article
Early Detection of Flight Accident Risks Through Machine Learning
Ramya.S1
Uma N2
Vivedha G3
Priya G4
1 Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur,Tamil Nadu, India. 2 3 4 Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 572-575
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501066
References
1. R. Koshekov, Y. Ospanov, B. Muratkhan, N. Levchenko, A. Koshekov and A. Togambayev, “Probabilistic Multiplicative Stochastic Modeling of Aviation Safety Risks Using the Swiss Cheese Model: A Monte Carlo Simulation Approach,” IEEE Access, vol. 13, pp. 185233‑185245, 2025.
2. R. Wang, H. Yan, R. Kang and X. Feng, “Evaluation and Classification of Accident‑Inducing and Risk Propagation in Airport Apron Networks,” IEEE Access, vol. 13, pp. 66238‑66252, 2025.
3. H. Jin, Z. Hu, K. Li, G. Yu, J. Zhang and M. Chu, “Study on How Expert and Novice Pilots Can Distribute Their Visual Attention to Improve Flight Performance,” IEEE Access, vol. 9, pp. 44757‑44766, 2021.
4. R. Hakani, A. Rawat and A. Kumar, “Enhancing UAV Safety Through Battery Health Monitoring and Flight Log‑Based Crash Diagnostics,” IEEE Open Journal of Engineering in Aviation, vol. 2, pp. 464‑473, 2025.
5. Y. Zhang, Q. Li, F. Wang and P. Liu, “Deep Learning‑Based Flight Safety Risk Prediction Using LSTM Networks,” 2023 IEEE International Conference on Big Data (Big Data Congress), pp. 120‑127, July 2023.
2. R. Wang, H. Yan, R. Kang and X. Feng, “Evaluation and Classification of Accident‑Inducing and Risk Propagation in Airport Apron Networks,” IEEE Access, vol. 13, pp. 66238‑66252, 2025.
3. H. Jin, Z. Hu, K. Li, G. Yu, J. Zhang and M. Chu, “Study on How Expert and Novice Pilots Can Distribute Their Visual Attention to Improve Flight Performance,” IEEE Access, vol. 9, pp. 44757‑44766, 2021.
4. R. Hakani, A. Rawat and A. Kumar, “Enhancing UAV Safety Through Battery Health Monitoring and Flight Log‑Based Crash Diagnostics,” IEEE Open Journal of Engineering in Aviation, vol. 2, pp. 464‑473, 2025.
5. Y. Zhang, Q. Li, F. Wang and P. Liu, “Deep Learning‑Based Flight Safety Risk Prediction Using LSTM Networks,” 2023 IEEE International Conference on Big Data (Big Data Congress), pp. 120‑127, July 2023.
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