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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Shuo Tang, Bing Lei, Zhiyuan Feng, Honglei Guo, Ping Zhang and Guozhe Meng
Graphene oxide (GO), derived from the two-dimensional nanosheet graphene, has received unprecedented attention in the field of metal corrosion protection owing to its excellent barrier performance and various active functional groups. In this review, the...
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Shuo Shi, Xingtao Tang, Bowen Chen, Biwu Chen, Qian Xu, Sifu Bi and Wei Gong
Lidar can effectively obtain three-dimensional information on ground objects. In recent years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral imaging. The multispectral airborne lidar Optech Titan is the first commercia...
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Chaoqun Li, Shuo Tang, Yi Li and Zihai Geng
To reduce the computational cost, the k-ω" role="presentation">???
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SST turbulence model with Rotation and Curvature correction (SST-RC) is modified to predict the drag of practical aerodynamic configurations mounted with drag-reducing riblet...
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Guangwei Chen, Waiching Tang, Shuo Chen, Shanyong Wang and Hongzhi Cui
Engineered cementitious composite (ECC) is a unique material, which can significantly contribute to self-healing based on ongoing hydration. However, it is difficult to model and predict the self-healing performance of ECC. Although different machine lea...
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Weiqi Yang, Shuo Tang and Hui Yang
In the present study, the performance of the moment method, in terms of accuracy and computational efficiency, was evaluated at both the macro- and microscopic levels. Three different types of non-equilibrium gas flows, including the force-driven Poiseui...
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Jieqing Tan; Shuo Tang
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