Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology

E Tu, G Zhang, L Rachmawati… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The automatic identification system (AIS) tracks vessel movement by means of electronic
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

W Shi, L Hu, Z Lin, L Zhang, J Wu, W Chai - Ocean Engineering, 2023 - Elsevier
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 …

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 …

Predicting heave and surge motions of a semi-submersible with neural networks

X Guo, X Zhang, X Tian, X Li, W Lu - Applied Ocean Research, 2021 - Elsevier
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 …

[HTML][HTML] A CNN-LSTM architecture for marine vessel track association using automatic identification system (AIS) data

MAB Syed, I Ahmed - Sensors, 2023 - mdpi.com
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 …

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 …

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 …

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 …

A novel short-term ship motion prediction algorithm based on EMD and adaptive PSO–LSTM with the sliding window approach

X Geng, Y Li, Q Sun - Journal of Marine Science and Engineering, 2023 - mdpi.com
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 …

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 …