Ocean wave energy converters: Status and challenges

T Aderinto, H Li - Energies, 2018 - mdpi.com
Wave energy is substantial as a resource, and its potential to significantly contribute to the
existing energy mix has been identified. However, the commercial utilization of wave energy …

[HTML][HTML] A review on ship motions and quiescent periods prediction models

G Cademartori, L Oneto, F Valdenazzi, A Coraddu… - Ocean …, 2023 - Elsevier
The prediction of ship motions and quiescent periods, is of paramount importance for the
maritime industry. The capability to predict these events sufficiently in advance has the …

Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series

X Li, J Cao, J Guo, C Liu, W Wang, Z Jia, T Su - Ocean Engineering, 2022 - Elsevier
Ocean wave height is an essential parameter for ocean engineering construction, planning
decisions, and coastal hazards assessment. Long-term, accurate, and reliable ocean wave …

Rain detection from X-band marine radar images: A support vector machine-based approach

X Chen, W Huang, C Zhao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Since rain alters the histogram pattern of radar images, rain-contaminated radar data can be
identified. In this article, a support vector machine (SVM)-based method for rain detection …

Spatial–temporal convolutional gated recurrent unit network for significant wave height estimation from shipborne marine radar data

X Chen, W Huang - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Spatial–temporal features are extracted from X-band marine radar backscatter image
sequences via deep neural networks to estimate sea surface significant wave heights …

[HTML][HTML] A deep hybrid network for significant wave height estimation

L Patanè, C Iuppa, C Faraci, MG **bilia - Ocean Modelling, 2024 - Elsevier
The influence of weather conditions on sea state, and in particular on the dynamic evolution
of waves, is an important issue that affects several areas, including maritime traffic and the …

Real-time significant wave height estimation from raw ocean images based on 2D and 3D deep neural networks

H Choi, M Park, G Son, J Jeong, J Park, K Mo, P Kang - Ocean Engineering, 2020 - Elsevier
The fuel costs, which constitute the highest proportion of sailing costs, vary considerably
depending on ocean condition although ships sail on the same route. Among various ocean …

SWHFormer: A vision transformer for significant wave height estimation from nautical radar images

Z Yang, W Huang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
This article presented a novel significant wave height (SWH) estimation method,
SWHFormer, which incorporates the Vision Transformer (ViT) to estimate SWH from X-band …

Bayesian optimization of a hybrid system for robust ocean wave features prediction

L Cornejo-Bueno, EC Garrido-Merchán… - Neurocomputing, 2018 - Elsevier
In the last years, Bayesian optimization (BO) has emerged as a practical tool for high-quality
parameter selection in prediction systems. BO methods are useful for optimizing black-box …

Significant wave height forecasting based on EMD-TimesNet networks

Z Ouyang, Y Gao, X Zhang, X Wu, D Zhang - Journal of Marine Science …, 2024 - mdpi.com
Significant Wave Height (SWH) is a crucial parameter in ocean wave dynamics, impacting
coastal safety, maritime transportation, and meteorological research. Building upon the …