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Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology
The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …
Short-term motion prediction of floating offshore wind turbine based on muti-input LSTM neural network
The motion response of an offshore floating wind turbine (FOWT) platform is closely related
to the control operation regarding the safety of a wind turbine. It is affected by various factors …
to the control operation regarding the safety of a wind turbine. It is affected by various factors …
An enhanced hybrid scheme for ship roll prediction using support vector regression and TVF-EMD
D Xu, J Yin - Ocean Engineering, 2024 - Elsevier
In order to represent the complex characteristics of ship roll motion such as nonlinearity,
uncertainty, and time-varying dynamics thus improving the ship roll prediction accuracy, an …
uncertainty, and time-varying dynamics thus improving the ship roll prediction accuracy, an …
Predicting heave and surge motions of a semi-submersible with neural networks
Real-time motion prediction of a vessel or a floating platform can help to improve the
performance of motion compensation systems. It can also provide useful early-warning …
performance of motion compensation systems. It can also provide useful early-warning …
[HTML][HTML] A CNN-LSTM architecture for marine vessel track association using automatic identification system (AIS) data
In marine surveillance, distinguishing between normal and anomalous vessel movement
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …
An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect
Z Nie, F Shen, D Xu, Q Li - Ocean Engineering, 2020 - Elsevier
Short-term prediction technology has a vital role in improving the efficacy and safety of
several offshore operations. Motivated by nonlinear learning ability of support vector …
several offshore operations. Motivated by nonlinear learning ability of support vector …
Scale effects in AR model real-time ship motion prediction
H Jiang, SL Duan, L Huang, Y Han, H Yang, Q Ma - Ocean Engineering, 2020 - Elsevier
Real-time prediction of ship motion is essential for decision making in shipborne maritime
operations. Differences in ship hulls render different ship motion characteristics, which …
operations. Differences in ship hulls render different ship motion characteristics, which …
A hybrid ship-motion prediction model based on CNN–MRNN and IADPSO
L Zhang, X Feng, L Wang, B Gong, J Ai - Ocean Engineering, 2024 - Elsevier
Accurate and extreme short-term predictions of ship motion are essential to ensure the
safety of maritime operations. Hence, a hybrid spatial–temporal neural network that …
safety of maritime operations. Hence, a hybrid spatial–temporal neural network that …
A novel short-term ship motion prediction algorithm based on EMD and adaptive PSO–LSTM with the sliding window approach
Under the influence of variable sea conditions, a ship will have an oscillating motion
comprising six degrees of freedom, all of which are connected to each other. Among these …
comprising six degrees of freedom, all of which are connected to each other. Among these …
The ship movement trajectory prediction algorithm using navigational data fusion
P Borkowski - Sensors, 2017 - mdpi.com
It is essential for the marine navigator conducting maneuvers of his ship at sea to know
future positions of himself and target ships in a specific time span to effectively solve …
future positions of himself and target ships in a specific time span to effectively solve …