Cited by 10
Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic

Visualization of Data: Methods, Software, and Applications
Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev, Giedrė Dzemydaitė
Book:  Advances in Mechanics and Mathematics (Advances in Mathematical Methods and High Performance Computing) Volume 41 (2019), p. 295
2021 2nd European Symposium on Software Engineering
Gintautas Dzemyda, Martynas Sabaliauskas
Conference:  (2021), p. 136
A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset
Zahra Sadeghi, Stan Matwin
Book:  Lecture Notes in Networks and Systems (Advances in Information and Communication) Volume 921 (2024), p. 304
A novel ship trajectory clustering analysis and anomaly detection method based on AIS data
Chuang Zhang, Songtao Liu, Muzhuang Guo, Yuanchang Liu
Journal:  Ocean Engineering Volume 288 (2023), p. 116082
AIS-based maritime anomaly traffic detection: A review
Claudio V. Ribeiro, Aline Paes, Daniel de Oliveira
Journal:  Expert Systems with Applications Volume 231 (2023), p. 120561
Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks
Robertas Jurkus, Julius Venskus, Povilas Treigys
Journal:  Engineering Applications of Artificial Intelligence Volume 123 (2023), p. 106448
Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread
Jurgita Markevičiūtė, Jolita Bernatavičienė, Rūta Levulienė, Viktor Medvedev, Povilas Treigys, Julius Venskus
Journal:  Computers, Materials & Continua Volume 70, Issue 1 (2022), p. 695
Correlating real-world incidents with vessel traffic off the coast of Hawaii, 2017–2020
Amelia Henriksen
Journal:  Discover Oceans Volume 1, Issue 1 (2024)
Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania
Jurgita Markevičiūtė, Jolita Bernatavičienė, Rūta Levulienė, Viktor Medvedev, Povilas Treigys, Julius Venskus
Journal:  Mathematics Volume 10, Issue 15 (2022), p. 2734
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding
Julius Venskus, Povilas Treigys, Jolita Bernatavičienė, Gintautas Tamulevičius, Viktor Medvedev
Journal:  Sensors Volume 19, Issue 17 (2019), p. 3782