The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …

The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

Data-driven methods open up unprecedented possibilities for maritime surveillance using
automatic identification system (AIS) data. In this work, we explore deep learning strategies …

Ship trajectory prediction is a key requisite for maritime navigation early warning and safety,
but accuracy and computation efficiency are major issues still to be resolved. The research …

Accurate vessel trajectory prediction is essential for maritime traffic control and
management. In addition to collision avoidance, accurate vessel trajectory prediction can …

In this paper, we address the problem of predicting vessel trajectories based on Automatic
Identification System (AIS) data. The goal is to learn the predictive distribution of maritime …

Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and
efficient shipping, but still existing models are mainly oriented to longer-term prediction …

Trajectory prediction is a critical technology for ensuring ship navigation safety, improving
the efficiency of marine traffic control, and efficiently searching for maritime targets. This …