Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Haoguang Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The railway rivet is one of the most important and easily damaged parts of the connection. If rivets develop cracks during the production process, their load-bearing capacity will be reduced, thereby increasing the risk of failure. Fluoresce
Externí odkaz:
https://doaj.org/article/cb3049eb08ee4416bfd057e66d642368
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2627 (2022)
Orbit accuracy of the transfer orbit and the mission orbit is the basis for the orbit control of all-electric-propulsion Geostationary Orbit (GEO) satellites. Global Navigation Satellite System (GNSS) simulation data are used to analyze the main fact
Externí odkaz:
https://doaj.org/article/fd3682235a694fac85902c8efef687c4
Autor:
Xinhua Zhou, Long Chen, Chuanggeng Wei, Haoguang Wang, Hongjun Zhou, Hua Xu, Huayao Chen, Li Hao, Guanquan Lin
Publikováno v:
Journal of Agricultural and Food Chemistry. 68:9624-9635
Herein, we prepared and compared two water-soluble amphiphilic zein-based nanocarrier systems with avermectin (AVM) payload to enhance pesticide's water-dispersity, foliage wettability, adhesion, anti-UV, and pH-responsive controlled release property
Autor:
Haoguang Wang
Publikováno v:
2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA).
With the continuous development of information technology and the coming of big data era, it is a key measure to promote the steady development of the financial industry to build a big data information system through cloud computing technology and fu
Publikováno v:
Journal of Physics: Conference Series. 2010:012131
Action recognition based on human skeleton information is a hot research topic in the field of computer vision, and ST-GCN graph convolutional network is widely used to extract spatial and temporal features of human skeleton to represent the human sk
Publikováno v:
Journal of Physics: Conference Series. 2010:012166
The simplebaseline model achieves high performance of human pose estimation with simple network structure. But the model lacks the layer and spatial information fusion. In this paper, we propose DLSAnet, which fuse layers and spatial information effi
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 558:052004
At present, fossil energy is depleted and environmental pollution is severe. Based on this context, renewable energy has begun to be paid attention to, among which ocean thermal energy conversion (OTEC) has received more and more attention. In this p