"Anomaly Detection for Unmanned Surface Vehicles Based on a Multi-Modal ..."

Micheale Tekulu et al. (2025)

> Home

Details and statistics

DOI: 10.15439/2025F3412

access: open

type: Conference or Workshop Paper

metadata version: 2025-11-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/fedcsis/TekuluKZMCMR25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fedcsis/TekuluKZMCMR25
Micheale Tekulu, Ali Krayani, Pamela Zontone, Lucio Marcenaro, Francesco Caprile, Antonino Masaracchia, Carlo S. Regazzoni:
Anomaly Detection for Unmanned Surface Vehicles Based on a Multi-Modal Bayesian Generative Model. FedCSIS 2025: 399-404

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.