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Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co...
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Weidong Zhao, Bernt Johan Leira, Knut Vilhelm Høyland, Ekaterina Kim, Guoqing Feng and Huilong Ren
This paper presents a framework for structural analysis of icebreakers during ramming of first-year ice ridges. The framework links the ice-ridge load and the structural analysis based on the physical characteristics of ship?ice-ridge interactions. A shi...
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Weidong Cao, He Wang and Jian Tang
Guide vane submersible centrifugal pumps are a kind of submersible pump, and the fluid inside the pump is often mixed with gravel and other impurities during operation, affecting the pump?s operating efficiency and life expectancy. However, past studies ...
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Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
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Xue Xie, Yulin Liao, Yanhong Lu, Jianglin Zhang, Peng Li, Youyun Tang, Weidong Cao, Yajie Gao and Jun Nie
The excessive application of chemical fertilizers in rice fields exacerbates soil degradation and poses a threat to food security. Achieving an increase in rice production and minimizing environmental costs are inevitable requirements for achieving susta...
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Zain Abbas, Muhammad Ahmad Hassan, Weidong Huang, Haibing Yu, Mengqin Xu, Xiaoyu Chang, Xisheng Fang and Liqin Liu
An approximate revolution synthesis of magnesium oxide (MgO) nanoparticles has been prepared. For plant growth and development, MgO is essential. The effect and efficiency, respectively, in seed germination, seedling growth, and plant growth were also st...
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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Jian Wang, Ze Chen, Linghao Li, Chuan Wang, Kangle Teng, Qiang He, Jiren Zhou, Shanshan Li, Weidong Cao, Xiuli Wang and Hongliang Wang
Submersible tubular pumps are an ideal choice for pump stations that require high flow rates and low lift. These pumps combine the unique features of submersible motors with axial flow pump technology, making them highly efficient and cost-effective. The...
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Tingbo Zhou, Zhengke Zhang, Yongqiang Tian, Zhongxiang Xi, Xiaomu Dou, Weidong Liu, Guobiao Zhang and Chao Gao
Aimed at addressing the difficult problems existing in extremely low speed calibration facilities for hot-wire anemometers, where calibration accuracy is often insufficient and vulnerable to the contamination from temperature and humidity discrepancies b...
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Tao Zhang, Yibo Ai and Weidong Zhang
The mechanical simulation experiment can provide guidelines for the structural design of materials, but the module partition of mechanical simulation experiments is still in its infancy. A mechanical simulation contour, e.g., strain and stress contour, h...
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