Lanean...
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...
Gorde:
| Argitaratua izan da: | Sensors (Basel) |
|---|---|
| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2019
|
| Gaiak: | |
| Sarrera elektronikoa: | 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 |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|