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Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
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Yuanteng Jiang, Ke Zhan, Jie Xia and Min Zhao
Stability is a critical factor in structural design. Although buckling-constrained topology optimization has been investigated in previous work, the problem has not been considered under design-dependent loads. In this study, a model of buckling constrai...
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Tao Zhang, Pei Wang, Jin He, Dandan Liu, Min Wang, Mingguo Wang and Shibin Xia
Groundwater is vital to local human life and agricultural irrigation, and the quality of the water is critical to human health. As a result, it is critical to investigate the hydrochemical evolution and water quality of groundwater in the Sanjiang Plain....
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Huiwen Ji, Min Xia, Dongsheng Zhang and Haifeng Lin
Cloud and cloud shadow detection are essential in remote sensing imagery applications. Few semantic segmentation models were designed specifically for clouds and their shadows. Based on the visual and distribution characteristics of clouds and their shad...
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Huixuan Yi, Shengchao Hu, Yulin Zhang, Xudong Wang, Zhenqing Xia, Yuting Lei and Min Duan
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Jin Zhang, Min Xia, Wei Chen, Dong Yuan, Chongyou Wu and Jiping Zhu
The desirable sowing period for winter wheat is very short in the rice-wheat rotation areas. There are also lots of straw left in harvested land. Deep rotary tillage can cover rice straw under the surface to increase soil organic matter. Clarifying the e...
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Min Cui, Jizhou Zhang and Xianli Xia
Exploring the relationship between child rearing burden and farmers? adoption of climate adaptation technologies can be used to improve farmers? adoption of these technologies, thus reducing the impact of climate change on agricultural production and inc...
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Yifan Fang, Shanshan Jiang, Shengxuan Fang, Zhenxi Gong, Min Xia and Xiaodong Zhang
Load decomposition technology is an important aspect of power intelligence. At present, there are mainly machine learning methods based on artificial features and deep learning methods for load decomposition. The method based on artificial features has a...
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Chaoyun Yang, Yonghong Zhang, Min Xia, Haifeng Lin, Jia Liu and Yang Li
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of...
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Zhongyu Sun, Wangping Zhou, Chen Ding and Min Xia
Extracting buildings and roads from remote sensing images is very important in the area of land cover monitoring, which is of great help to urban planning. Currently, a deep learning method is used by the majority of building and road extraction algorith...
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