Saved in:
| Hovedforfatter: | |
|---|---|
| Format: | Recurso digital |
| Sprog: | engelsk |
| Udgivet: |
Zenodo
2024
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.14926243 |
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Indholdsfortegnelse:
- <p>This work is carried on within the framework of the EU Horizon project “BAG-INTEL”. The BAG-INTEL project final target <br>is to develop a Risk-based AI tool to support customs intrusive inspection decision making relative to luggage <br>control in airports. The risk assessment component is the only component of the BAG-INTEL Tool that is presented <br>in the paper. The risk assessment component is one of many other components to be developped in BAG-INTEL <br>Tool. It is powered by an algorithm mixes probabilistic statistics (deductive approach) and Analytic Hierarchic <br>Process (AHP) classification theory (inductive approach). Subsequently, the risk assessment algorithm does not <br>exploit any AI methodology or facility. The exploited data are exclusively numerical figures. Hence, the risk <br>assessment algorithm does neither retrieve nor process any personal or biometric data by its concept. </p>