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Xin Yuan, Shutong Fang, Ning Li, Qiansheng Ma, Ziheng Wang, Mingfeng Gao, Pingpeng Tang, Changli Yu, Yihan Wang and José-Fernán Martínez Ortega
Sea cucumber detection represents an important step in underwater environmental perception, which is an indispensable part of the intelligent subsea fishing system. However, water turbidity decreases the clarity of underwater images, presenting a challen...
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Gexue Bai, Yunlong Hou, Baofeng Wan, Ning An, Yihao Yan, Zheng Tang, Mingchun Yan, Yihan Zhang and Daoyuan Sun
This study provides a straightforward method to determine the machine learning model with the best predictive performance and demonstrates a complete model building solution for predicting the factor of safety in slope engineering.
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Xiaohong Chen, Changqing Ye, Jiaming Zhang, Chongyu Xu, Lijuan Zhang and Yihan Tang
The stationarity assumption of hydrological processes has long been compromised by human disturbances in river basins. The traditional hydrological extreme-value analysis method, i.e., “extreme value theory” which assumes stationarity of the ...
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Wenkui Bai, Xiling Gu, Shenlin Li, Yihan Tang, Yanhu He, Xihui Gu and Xiaoyan Bai
Reliability and accuracy of soil moisture datasets are essential for understanding changes in regional climate such as precipitation and temperature. Soil moisture datasets from the Essential Climate Variable (ECV), the Coupled Model Intercomparison Proj...
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Yihan Tang, Qizhong Guo, Chengjia Su and Xiaohong Chen
Climate change has led to non-stationarity in recorded floods all over the world. Although previous studies have widely discussed the design error caused by non-stationarity, most of them explored basins with closed catchment areas. The response of flood...
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