Julius Venskus - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networksRobertas Jurkus, Julius Venskus, Povilas Treigys. eaai, 123(Part C):106448, 2023. [doi]

2021

Investigation of Recurrent Neural Network Architectures for Prediction of Vessel TrajectoryRobertas Jurkus, Povilas Treigys, Julius Venskus. ICIST 2021: 194-208 [doi]

2019

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data EmbeddingJulius Venskus, Povilas Treigys, Jolita Bernataviciene, Gintautas Tamulevicius, Viktor Medvedev. sensors, 19(17):3782, 2019. [doi]

2017

Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine TrafficJulius Venskus, Povilas Treigys, Jolita Bernataviciene, Viktor Medvedev, Miroslav Voznak, Mindaugas Kurmis, Violeta Bulbenkiene. informaticaLT, 28(2):359-374, 2017. [doi]

2015

Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone methodJulius Venskus, Mindaugas Kurmis, Arunas Andziulis, Zydrunas Lukosius, Miroslav Voznak, Denisas Bykovas. spects 2015: 1-6 [doi]

Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone methodJulius Venskus, Mindaugas Kurmis, Arunas Andziulis, Zydrunas Lukosius, Miroslav Voznak, Denisas Bykovas. summersim 2015: [doi]

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