Cited by 11
Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic

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)
Edge Computing Enabling Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
Hualong Chen, Yuanqiao Wen, Yamin Huang, Changshi Xiao, Zhongyi Sui
Journal  IEEE Internet of Things Journal Volume 12, Issue 2 (2025), p. 1509
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
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