Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques von Venskus, Julius, Treigys, Povilas, Markeviciute, Jurgita

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Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding von Venskus, Julius, Treigys, Povilas, Bernatavičienė, Jolita, Tamulevičius, Gintautas, Medvedev, Viktor

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Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania von Markevičiūtė, Jurgita, Bernatavičienė, Jolita, Levulienė, Rūta, Medvedev, Viktor, Treigys, Povilas, Venskus, Julius

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Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks von Jurkus, Robertas, Venskus, Julius, Treigys, Povilas

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Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread von Markevičiūtė, Jurgita, Bernatavičienė, Jolita, Levulienė, Rūta, Medvedev, Viktor, Treigys, Povilas, Venskus, Julius

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Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic von Venskus, Julius, Treigys, Povilas, Bernatavičienė, Jolita, Medvedev, Viktor, Voznak, Miroslav, Kurmis, Mindaugas, Bulbenkienė, Violeta

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