Julius Venskus

Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques

Julius Venskus, Povilas Treigys, Jurita Markevičiūtė · Nonlinear Analysis Modelling and Control · 2021 · 53 citations · Full text

Engineering, Ship Maneuvering, Machine Learning +19

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding

Julius Venskus, Povilas Treigys, Jolita Bernatavičienė et al. · Sensors · 2019 · 36 citations · Full text

Anomaly Detection, Machine Learning, Engineering +22

Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks

Robertas Jurkus, Julius Venskus, Povilas Treigys · Engineering Applications of Artificial Intelligence · 2023 · 26 citations

Naval Architecture, Engineering, Ship Maneuvering +9

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

Julius Venskus, Povilas Treigys, Jolita Bernatavičienė et al. · Informatica · 2017 · 15 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread

Jurgita Markevičiūtė, Jolita Bernatavičienė, Rūta Levulienė et al. · Computers, materials & continua/Computers, materials & continua (Print) · 2021 · 11 citations · Full text

Epidemiological Dynamic, Time Series Models, Computational Epidemiology +20