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Rongke Wei, Haodong Pei, Dongjie Wu, Changwen Zeng, Xin Ai and Huixian Duan
The task of 3D reconstruction of urban targets holds pivotal importance for various applications, including autonomous driving, digital twin technology, and urban planning and development. The intricate nature of urban landscapes presents substantial cha...
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Donghae Baek, Il Won Seo, Jun Song Kim, Sung Hyun Jung and Yuyoung Choi
The dispersion coefficients are crucial in understanding the spreading of pollutant clouds in river flows, particularly in the context of the depth-averaged two-dimensional (2D) advection?dispersion equation (ADE). Traditionally, the 2D stream-tube routi...
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Murat Gulen and Havvanur Kilic
In this study, full-scale laboratory tests were conducted on a 315 mm diameter HDPE pipe under shallow buried and localised surface loading conditions to investigate the effects of pipe deflection and arching on stress distribution and the lateral earth ...
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Shaoyan Zuo, Dazhi Wang, Xiao Wang, Liujia Suo, Shuaiwu Liu, Yongqing Zhao and Dewang Liu
In this study, a deep learning network for extracting spatial-temporal features is proposed to estimate significant wave height (????
H
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) and wave period (????
T
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) from X-band marine radar images. Since the shore-based radar image in this study is in...
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Yan Liang, Yu Chen, Zhou Meng, Xin Zhou and Yichi Zhang
This paper proposes an underwater broadband target depth estimation method based on the multipath arrival structure in medium and short-range deep-sea environments. The proposed approach involves separating the multipath rays arriving at the vertical lin...
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