Loading...
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...
Na minha lista:
| Udgivet i: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2019
|
| Fag: | |
| Online adgang: | 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 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|