"Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History ..."

Julius Venskus et al. (2019)

> Home

Details and statistics

DOI: 10.3390/S19173782

access: open

type: Journal Article

metadata version: 2025-04-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/VenskusTBTM19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/VenskusTBTM19
Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Gintautas Tamulevicius, Viktor Medvedev:
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. Sensors 19(17): 3782 (2019)

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.