"Self-learning adaptive algorithm for maritime traffic abnormal movement ..."

Julius Venskus et al. (2015)

> Home

Details and statistics

DOI: 10.1109/SPECTS.2015.7285281

access: closed

type: Conference or Workshop Paper

metadata version: 2019-10-18

- view
  authority control:
- export record
  dblp key:
  - conf/summersim/VenskusKALVB15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/summersim/VenskusKALVB15
Julius Venskus, Mindaugas Kurmis, Arunas Andziulis, Zydrunas Lukosius, Miroslav Voznák, Denisas Bykovas:
Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone method. SPECTS@SummerSim 2015: 12:1-12:6

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.