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Jing Wang, Qianqian Li, Zhiqiang Fang, Xianglong Zhou, Zhiwei Tang, Yanling Han and Zhenling Ma
The rapid development of convolutional neural networks has significant implications for automated underwater fishing operations. Among these, object detection algorithms based on underwater robots have become a hot topic in both academic and applied rese...
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Yu Chen, Qianqian Miao and Qian Zhou
The ecological protection and high-quality development (HQD) of the Yellow River Basin (YRB) have been promoted as national strategies. An urban agglomeration is the basic unit of the YRB used to participate in international competitions. Taking seven ur...
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Qianqian Zhou, Nan Chen and Siwei Lin
The UN 2030 Agenda sets poverty eradication as the primary goal of sustainable development. An accurate measurement of poverty is a critical input to the quality and efficiency of poverty alleviation in rural areas. However, poverty, as a geographical ph...
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Xiong Zou, Wenqiang Zhan, Changshi Xiao, Chunhui Zhou, Qianqian Chen, Tiantian Yang and Xin Liu
The demand for non-powered facility towing is increasing with the development of large-scale offshore projects. It is of great interest for its safe operation to measure the state of the towing process in real time. This paper proposed a computer vision ...
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Qianqian Zhou and Karsten Arnbjerg-Nielsen
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Yan Li, Xiaolei Li, Qianqian Chu, Hui Dong, Jiantao Yao, Yong Zhou and Guanjun Yang
The nucleation site plays a critical role in achieving the full coverage of perovskite film at both the macroscopic and microscopic scales, and it is systematically investigated for the first time in this study. The results show that under natural condit...
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Anders Skovgård Olsen, Qianqian Zhou, Jens Jørgen Linde and Karsten Arnbjerg-Nielsen
Estimating the expected annual damage (EAD) due to flooding in an urban area is of great interest for urban water managers and other stakeholders. It is a strong indicator for a given area showing how vulnerable it is to flood risk and how much can be ga...
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