Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone method

Julius Venskus, Mindaugas Kurmis, Arunas Andziulis, Zydrunas Lukosius, Miroslav Voznak, Denisas Bykovas. Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone method. In International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2015, Chicago, IL, USA, July 26-29, 2015. pages 1-6, IEEE, 2015. [doi]

@inproceedings{VenskusKALVB15-0,
  title = {Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone method},
  author = {Julius Venskus and Mindaugas Kurmis and Arunas Andziulis and Zydrunas Lukosius and Miroslav Voznak and Denisas Bykovas},
  year = {2015},
  doi = {10.1109/SPECTS.2015.7285281},
  url = {https://doi.org/10.1109/SPECTS.2015.7285281},
  researchr = {https://researchr.org/publication/VenskusKALVB15-0},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2015, Chicago, IL, USA, July 26-29, 2015},
  publisher = {IEEE},
  isbn = {978-1-5108-1060-0},
}