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

Julius Venskus et al. (2019)

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DOI: 10.3390/S19173782

access: open

type: Journal Article

metadata version: 2023-09-30

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  - 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)

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