This study adheres to a set of guidelines for performing an SLR. The mission of the SLR is to
find publications, publishers, deep learning types, improved and amended deep learning …

Abstract Develo** Maritime Autonomous Surface Ship technology is a challenging task as
it requires the convergence of technologies in various fields, such as optimal route search …

It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

In the context of the rapid development of deep learning theory, predicting future motion
states based on time series sequence data of ship trajectories can significantly improve the …

Accurate ship trajectory prediction (STP) is crucial to realise the early warning of ship
collision and ensure maritime safety. Driven by advancements in artificial intelligence …

The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents.
Accurate ship trajectory prediction can improve the efficiency of navigation and maritime …

Vessel trajectory prediction plays a vital role in maintaining a safe and effective status in
maritime transportation. The development of deep learning provides appropriate …

Vessel trajectory prediction using AIS data plays an important role in maritime navigation
warning and safety. A key aspect of trajectory prediction is multimodal because of the …

This review article explores the applications and impacts of Machine Learning (ML)
techniques in marine traffic management and prediction within complex maritime systems. It …

The capability of prompt response in the case of critical circumstances occurring within a
maritime scenario depends on the awareness level of the competent authorities. From this …