Risk analysis on corrosion of submarine oil and gas pipelines based on hybrid Bayesian network
W Wang, X He, Y Li, J Shuai - Ocean Engineering, 2022 - Elsevier
Submarine pipeline is currently the safest and most economical transportation of subsea oil
and gas. Corrosion is one of the main threats to submarine pipelines because of the …
and gas. Corrosion is one of the main threats to submarine pipelines because of the …
Artificial neural network based prediction of ship speed under operating conditions for operational optimization
Ship speed is one of the most fundamental parameters which influences ship design, the
energy efficiency of its operation, and safety. Therefore, ship speed selection and prediction …
energy efficiency of its operation, and safety. Therefore, ship speed selection and prediction …
Vessel speed prediction using latent-invariant transforms in the presence of incomplete information
X Zhao, Y Guo, Y Wang, M Wang - Expert Systems with Applications, 2025 - Elsevier
This paper presents a novel model designed to predict the vessel speed, specifically tailored
to tackle the challenges posed by incomplete information of relevant operating parameters …
to tackle the challenges posed by incomplete information of relevant operating parameters …
[HTML][HTML] Research on ship speed prediction based on time series imaging and deep convolutional network fusion method
X Jiang, Y Dai, S Li, R Ma, T Du, Y Zou, P Zhang… - Applied Ocean …, 2025 - Elsevier
Ship speed prediction is crucial for ship operation and safe navigation, providing precise
data support for route planning and optimization, port operational efficiency enhancement …
data support for route planning and optimization, port operational efficiency enhancement …
Domain-adapted feature transfer: A generalized framework for short-term vessel speed prediction
Y Guo, Y Wang, J Zhou, J Wang - Ocean Engineering, 2023 - Elsevier
Data-driven methods have been in sight in ocean engineering for short-term vessel speed
prediction. However, due to the requirements of large amounts of training data and the …
prediction. However, due to the requirements of large amounts of training data and the …