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

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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 Floriano De Rango, Franco Davoli, José-Luis Marzo, Joel Rodrigues, Malamati D. Louta, Imadeldin Mahgoub, José Saldaña, Saurabh Mittal, José Luis Risco-Martín, Deniz Cetinkaya, editors, Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems, Chicago, IL, USA, July 26-29, 2015. ACM, 2015. [doi]

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