Risk assessment and prevention in airport security assurance by integrating LSTM algorithm.

ABSTRACT: 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 airport security assurance that integrated LSTM algorithm. It analyzed the causes of malfunctioning flights by collecting airport flight safety log datasets. This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to ide

SUBMITTER: Hu Y 

PROVIDER: S-EPMC11698374 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature