[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …
increasing interest as it helps prevent collision accidents and eliminate potential …
[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …
environment caused by large-scale and high-speed ships, particularly with the introduction …
[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions
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 …
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
Data-driven trajectory quality improvement for promoting intelligent vessel traffic services in 6G-enabled maritime IoT systems
Future generation communication systems, such as 5G and 6G wireless systems, exploit the
combined satellite-terrestrial communication infrastructures to extend network coverage and …
combined satellite-terrestrial communication infrastructures to extend network coverage and …
[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
Data-driven methods for detection of abnormal ship behavior: Progress and trends
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) …
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …
Fine-grained vessel traffic flow prediction with a spatio-temporal multigraph convolutional network
The accurate and robust prediction of vessel traffic flow is gaining importance in maritime
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
Owing to the space–air–ground integrated networks (SAGIN), seaborne shipping has
attracted increasing interest in the research on the motion behavior knowledge extraction …
attracted increasing interest in the research on the motion behavior knowledge extraction …
Short-term load forecasting using channel and temporal attention based temporal convolutional network
Load forecasting is the foundation of power system operation and planning. Accurate load
forecasting can secure the safe and reliable operation of the power system, cut power …
forecasting can secure the safe and reliable operation of the power system, cut power …
An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation
To achieve reliable mining results for massive vessel trajectories, one of the most important
challenges is how to efficiently compute the similarities between different vessel trajectories …
challenges is how to efficiently compute the similarities between different vessel trajectories …