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Chunyun Shen, Jiahao Zhang, Chenglin Ding and Shiming Wang
By combining computational fluid dynamics (CFD) and surrogate model method (SMM), the relationship between turbine performance and airfoil shape and flow characteristics at low flow rate is revealed. In this paper, the flow velocity tidal energy airfoil ...
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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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Bochuan Ding, Zhenwei Liang, Yongqi Qi, Zhikang Ye and Jiahao Zhou
The cleaning device is an important part of combine harvesters, as its superior or inferior performance directly affects the performance of the combine harvester greatly. With an increasing rice yield, the current single-duct cleaning performance decline...
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Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan and Jinbo Bi
Regularized sparse learning with the l0
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-norm is important in many areas, including statistical learning and signal processing. Iterative hard thresholding (IHT) methods are the state-of-the-art for nonconvex-constrained sparse learning due to their ...
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Jiahao Li, Xing Ding and Junfeng Liu
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Zhang, Ding; Nagurney, Anna; Wu, Jiahao
Pág. 731 - 748
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