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[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 …
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) …
[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] 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 …
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
The past decades have witnessed great developments and applications of the data-driven
machinery fault diagnosis methods. Due to the difficulties and significant expenses in …
machinery fault diagnosis methods. Due to the difficulties and significant expenses in …
[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 …
An artificial intelligence life cycle: From conception to production
This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …
development, and deployment of artificial intelligence (AI) systems and solutions. It …