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Gang Tang, Jingyu Zhang, Jinman Lei, Haohao Du, Hongxia Luo, Yide Wang and Yuehua Ding
The accurate prediction of significant wave height (SWH) offers major safety improvements for coastal and ocean engineering applications. However, the significant wave height phenomenon is nonlinear and nonstationary, which makes any prediction work a no...
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Lingxiao Zhao, Zhiyang Li, Junsheng Zhang and Bin Teng
In recent years, wave energy has gained attention for its sustainability and cleanliness. As one of the most important parameters of wave energy, significant wave height (SWH) is difficult to accurately predict due to complex ocean conditions and the ubi...
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Binzhen Zhou, Jiahao Wang, Kanglixi Ding, Lei Wang and Yingyi Liu
Predicting extreme waves can foresee the hydrodynamic environment of marine engineering, critical for avoiding disaster risks. Till now, there are barely any available models that can rapidly and accurately predict the occurrence probability of freak wav...
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Peng Zhao, Zhensen Wu, Yushi Zhang, Jinpeng Zhang, Xinyu Xu and Jiaji Wu
The Doppler spectra of sea echoes, which contain abundant information on floating scatterers, are important for exploring the characteristics of sea clutter. Using sea clutter data at low grazing angles observed by a coherent ultra-high frequency (UHF) r...
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Zhenquan Zhang, Jian Qin, Dengshuai Wang, Shuting Huang, Yanjun Liu and Gang Xue
In this paper, a variable damper is proposed to regulate the efficiency of a two-body wave energy converter (WEC) with mechanically driven power take-off (PTO). The variable damper introduces logic constraints into the WEC system, which can be translated...
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Min Roh, Sang-Myeong Oh, Pil-Hun Chang, Hyun-Suk Kang and Hyung-Suk Kim
A regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensi...
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Wenping Luo, Weiqin Liu, Meng Yang, Shuo Chen, Xuemin Song and Weiguo Wu
Operating Offshore Floating Vertical Axis Wind Turbines (OF-VAWT) have the potential to perform well in the deep-sea area. Some researchers gave performance prediction by developing simplified computing models. However, these models have imperfections in...
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Lei Han, Qiyan Ji, Xiaoyan Jia, Yu Liu, Guoqing Han and Xiayan Lin
Deep learning methods have excellent prospects for application in wave forecasting research. This study employed the convolutional LSTM (ConvLSTM) algorithm to predict the South China Sea (SCS) significant wave height (SWH). Three prediction models were ...
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Zhijie Feng, Po Hu, Shuiqing Li and Dongxue Mo
Accurate wave prediction can help avoid disasters. In this study, the significant wave height (SWH) prediction performances of the recurrent neural network (RNN), long short-term memory network (LSTM), and gated recurrent unit network (GRU) were compared...
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Alexey V. Ermoshkin, Dmitry A. Kosteev, Alexander A. Ponomarenko, Dmitrii D. Razumov and Mikhail B. Salin
Underwater acoustic echosounding for surface roughness parameters retrieval is studied in a frequency band that is relatively new for such purposes. During the described 2-weeks sea experiment, 1?3 kHz tonal pulses were emitted from an oceanographic plat...
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