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Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding
The automated identification system of vessel movements receives a huge amount of multivariate, heterogeneous sensor data, which should be analyzed to make a proper and timely decision on vessel movements. The large number of vessels makes it difficult and time-consuming to detect abnormalities, thu...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6749247/ https://ncbi.nlm.nih.gov/pubmed/31480449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19173782 |
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