Risk assessment and prevention in airport security assurance by integrating LSTM algorithm.
The risk assessment and prevention in traditional airport safety assurance usually rely on human experience for analysis, and there are problems such as heavy manual workload, excessive subjectivity, and significant limitations. This article proposed a risk assessment and prevention mechanism for ai...
Saved in:
| Main Authors: | Yao Hu, Liguang Qiao, Feng Gu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0315799 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LSTM and TCN application for airport surface distress detection
by: Ludek Cicmanec, et al.
Published: (2025-09-01) -
MODEL FOR THE EVALUATION OF THE AIRPORT SECURITY SYSTEM
by: Jacek SKORUPSKI, et al.
Published: (2014-06-01) -
Research status and development trends of security assurance for space-ground integration information network
by: Feng-hua LI, et al.
Published: (2016-11-01) -
Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM
by: Ahmed Mohammed Ahmed Alsarori, et al.
Published: (2025-12-01) -
FRAM-Based Analysis of Airport Risk Assessment Process
by: Dominika Marzec, et al.
Published: (2025-01-01)