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Found 6 papers, 1 papers with code
Monitoring of Underwater Critical Infrastructures: the Nord Stream and Other Recent Case Studies
The explosions on September 26th, 2022, which damaged the gas pipelines of Nord Stream 1 and Nord Stream 2, have highlighted the need and urgency of improving the resilience of Underwater Critical Infrastructures (UCIs).
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation
Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS) data and accurately predict sequences of future vessel positions with a prediction horizon of several hours.
Quickest Detection and Forecast of Pandemic Outbreaks: Analysis of COVID-19 Waves
The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1. 7 million deaths, and put the world's most advanced healthcare systems under heavy stress.
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Experimental results on vessel trajectories from an AIS dataset made freely available by the Danish Maritime Authority show the effectiveness of deep-learning methods for trajectory prediction based on sequence-to-sequence neural networks, which achieve better performance than baseline approaches based on linear regression or on the Multi-Layer Perceptron (MLP) architecture.
Space-based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques
Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies.
Space-based Global Maritime Surveillance. Part I: Satellite Technologies
Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies.
