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Yupu Huang, Li Zhuo and Jingjing Cao
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc...
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Sheng Sheng, Qihui Chen, Jingjing Li and Hua Chen
Climate change and human activities significantly impact the hydrological cycle, particularly in regions with numerous large-scale reservoirs. Recognizing the limitations of the reservoir module in the original SWAT model, this study presents an improved...
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Jingjing Xia, Jichen Xu, Zhixiong Zeng, Enli Lv, Feiren Wang, Xinyuan He and Ziwei Li
To obtain good productive performance, sows have different nutrition requirements at different gestation periods. However, in gestation stalls, conventional feeders have large relative errors, management is difficult because of the large numbers of sows,...
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Shaojie Wang, Qian Guo, Jingjing Yuan, Huaqi Li and Bohuai Fu
In the current context of urban development transformation and the gradual decline of historic and cultural districts, new demands have been raised for the preservation of such districts. The question of how to effectively safeguard historically and cult...
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Tao Wang, Jingjing Chen, Li Liu and Lingling Guo
Recently, the deep learning technology has been adopted in the study of traditional village landscape. More precisely, it?s usually used to explore the representation of cultural heritage and the diversity of heritage information. In this study, we compr...
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Jiao Shi, Tianyun Su, Xinfang Li, Fuwei Wang, Jingjing Cui, Zhendong Liu and Jie Wang
Significant wave height (SWH) is a key parameter for monitoring the state of waves. Accurate and long-term SWH forecasting is significant to maritime shipping and coastal engineering. This study proposes a transformer model based on an attention mechanis...
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Jingjing Liu, Xinli Yang, Denghui Zhang, Ping Xu, Zhuolin Li and Fengjun Hu
Multi-node wind speed forecasting is greatly important for offshore wind power. It is a challenging task due to unknown complex spatial dependencies. Recently, graph neural networks (GNN) have been applied to wind forecasting because of their capability ...
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Li Wang, Baobao Li, Hongyu Bai, Hong Ding, Na Xu, Chaofan Yin, Jingjing Xiong, Zhiwei Yang, Xianfa Rao and Binbin Dong
The pyrolytic carbon of polymer adsorbent resin (SAP) is used as a waste carbon source, which can be used as a porous carbon network via pyrolysis to remove surface sodium carbonate and other substances. In this paper, a ZnFe2O4/nitrogen-doped porous car...
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Weiying Li, Jingjing Zhang, Hongliang Li, Zezhou Wu, Xingju He, Lihua Ran, Martin G. Wiesner and Jianfang Chen
Time-series samples intercepted via three synchronized moored sediment traps, deployed at 1000 m, 2150 m, and 3200 m in the northern South China Sea (NSCS) during June 2009?May 2010, were analyzed to quantify the bioactive trace metal fluxes in sinking p...
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Hong Gan, Chengxuan Zhao, Guangfei Wei, Xiongyao Li, Guojun Xia, Xiao Zhang and Jingjing Shi
The lunar polar regions are key areas for future exploration due to the long-term continuous illumination and persistently shadowed regions that can cold trap abundant water and other volatiles. However, the complex terrain, dynamic lighting, and solar w...
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