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) …

The automatic identification system (AIS) was introduced in the maritime domain to increase
the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and …

SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost
unique in the training of deep neural networks (DNN) for the recognition of maritime objects …

This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …

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

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Video‐based detection infrastructure is crucial for promoting connected and autonomous
shipping (CAS) development, which provides critical on‐site traffic data for maritime …

Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …

For maritime safety and security, vessels should be able to predict the trajectories of nearby
vessels to avoid collision. This research proposes three novel models based on similarity …

Maritime activity is expected to increase, and therefore also the need for maritime
surveillance and safety. Most ships are obligated to identify themselves with a transponder …