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Chen-Xiang Dai, Qiong-Fang Zhang, Shao-Heng He, An Zhang, Hua-Feng Shan and Tang-Dai Xia
In this study, to explore the microstructure deformation mechanism of marine soft marine soil under cyclic loading, we analyzed the dynamic properties of soft marine soil under cyclic loading via dynamic consolidation compression testing. Then, using Ima...
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Hua Liu, Rui Wang, Yuanping Xia and Xiaoming Zhang
Dense stereo matching has been widely used in photogrammetry and computer vision applications. Even though it has a long research history, dense stereo matching is still challenging for occluded, textureless and discontinuous regions. This paper proposed...
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Xia Shang, Hua Zhou and Huayong Yang
Hydraulic pulsation attenuators (HPA) are commonly used to suppress the noise and vibration in fluid power systems. However, most existing HPAs lack a reasonable optimization strategy and effective methods to improve the performance of HPAs. This paper p...
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Xia Hua, Huiming Huang, Yigang Wang, Xiao Yu, Kun Zhao and Dake Chen
The estuarine turbidity maximum (ETM) under strong tidal dynamics (during spring tides) was investigated along the Deepwater Navigation Channel (DNC) in the North Passage (NP) of the Changjiang River Estuary (CRE) in wet and dry seasons of 2016, 2017 and...
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Yu Huang, Yue Xue Xia, Dian Hua Lin and Leong-Chew Lim
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Yu Huang, Shuangjie Zhang, Penghui Wang, Yue Xue Xia, Dian Hua Lin, Kui Yao and Leong-Chew Lim
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua, Fuchao Liu
Pág. 1 - 21
The Sacramento model is widely utilized in hydrological forecast, of which the accuracy and performance are primarily determined by the model parameters, indicating the key role of parameter estimation. This paper presents a multi-step parameter estimati...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua, Chen Wu, Xi Chen, Fangfeng Li and Bin Zhao
This paper discusses the Muskingum model as a novel parameter estimation method. Sixty representative floods over the past four decades serve as research objects; a linear Muskingum model and Pigeon-inspired optimization (PIO) algorithm are used to obtai...
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Hua Zhou, Jiao Feng, Peng Li and Jingming Xia
The codewords of a low-density parity-check (LDPC) convolutional code (LDPC-CC) are characterised into structured and non-structured. The number of the structured codewords is dominated by the size of the polynomial syndrome former matrix ????(??)
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Jian-Gang Li, Jing Cao, Fei-Fei Sun, Dong-Dong Niu, Fang Yan, Hong-Xia Liu, and Jian-Hua Guo
Pág. 1202 - 1208
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