Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach
Aviation is a complicated transportation system, and safety is of paramount importance because aircraft failure often involves casualties. Prevention is clearly the best strategy for aviation transportation safety. Learning from past incident data to prevent potential accidents from happening has pr...
Saved in:
Main Authors: | Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/5540046 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancements in Aeromedical Management of Diabetes: Implications for Aviation Safety
by: Young Hwan Kwon
Published: (2024-12-01) -
Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm
by: Xiaoyu Zhang, et al.
Published: (2017-01-01) -
Aviation Developers Worldwide: Constructors and Aviators (1900–1914)
by: Guenther Sollinger
Published: (2023-10-01) -
The challenges of aviation communication: Aspects of using aviation English
by: Rankov Dragana, et al.
Published: (2024-01-01) -
Using the Functional Resonance Analysis Method (FRAM) in Aviation Safety: A Systematic Review
by: Wulin Tian, et al.
Published: (2020-01-01)