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Xinli Yang, Jingjing Liu and Denghui Zhang
Applying prediction models to software engineering is an interesting research area. There have been many related studies which leverage prediction models to achieve good performance in various software engineering tasks. With more and more researches in ...
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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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Yang Li, Yongjie Wang, Xinli Xiong, Jingye Zhang and Qian Yao
The penetration test has many repetitive operations and requires advanced expert knowledge, therefore, the manual penetration test is inefficient. With the development of reinforcement learning, the intelligent penetration test has been a research hotspo...
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Xinli Li, Yansong Li, Dayong Hu, Wei Rao, Yufeng Qi, Qiang Yang and Gang Wang
The trim flap is an aerodynamic control surface capable of allowing Mars entry vehicles to improve landing performance during the most dangerous entry, descent, and landing (EDL) phase. In present work, a deployable trim flap system was proposed to meet ...
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Yun Mei, Xinghe Kong, Xinli Ke, Bohan Yang
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Urbanization has been responsible for the loss of cropland worldwide, especially in China. Since this trend is expected to continue in the near future, China has implemented the strictest cropland protection policies in the world, to guarantee its nation...
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Bohan Yang, Weiwei Zheng, Xinli Ke
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Forecasting the industrial water demand accurately is crucial for sustainable water resource management. This study investigates industrial water demand forecasting by case-based reasoning (CBR) in an arid area, with a case study of Zhangye, China. We co...
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Zhiwei Peng, Jiann-Yang Hwang, Matthew Andriese, Wayne Bell, Xiaodi Huang and Xinli Wang
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