Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Qingshan Zeng"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 200 (2024)
The traditional underwater integrated navigation system is based on an optical fiber gyroscope and Doppler Velocity Log, which is high-precision but also expensive, heavy, bulky and difficult to adapt to the development requirements of AUV swarm, int
Externí odkaz:
https://doaj.org/article/36c2a95bd4ae45d8a80dba70c217a8a3
Publikováno v:
Cancer Cell International, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background Circular RNAs (circRNAs) are a special kind of non-coding RNAs that are implicated in cancer malignant behavior, including glycolysis. However, their contributions to gastric cancer (GC) cell glycolysis are still poorly understood
Externí odkaz:
https://doaj.org/article/15292969cb8d4d1dbddcb3dce14dc855
Publikováno v:
Energies, Vol 12, Iss 17, p 3299 (2019)
As the installed capacity of wind power increases rapidly, how to promote wind power curtailment (WPC) integration has become a concern. The surface and underlying causes of wind power curtailment are insufficient peaking capability of the power syst
Externí odkaz:
https://doaj.org/article/91097f3933b448aba1389f79625ef335
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1957 (2018)
An optimal sizing model of the battery energy storage system (BESS) for large-scale wind farm adapting to the scheduling plan is proposed in this paper. Based on the analysis of the variability and uncertainty of wind output, the cost of auxiliary se
Externí odkaz:
https://doaj.org/article/72d43055c52a4bff989c756167e2e67d
Autor:
Qingshan Zeng, Hui Wang, Kang Yang, Lingyan Le, Yiwen Zhang, Jingmao Wu, Hengyuan Ran, Yiming Zhu, Dong Liu
Publikováno v:
Industrial & Engineering Chemistry Research. 62:7420-7433
Publikováno v:
Energy & Fuels. 36:11040-11050
Publikováno v:
Korean Journal of Chemical Engineering.
Autor:
You Zhou, Qingshan Zeng
Publikováno v:
2022 International Conference on Computing, Robotics and System Sciences (ICRSS).
Publikováno v:
Neurocomputing. 448:168-178
High-precision segmentation of fundus vessels is a fundamental step in the diagnosis and treatment of fundus diseases, in which both thick and thin vessels are important features for symptom detection. With the rapid development of artificial intelli
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3169e206142f8c424b3508f9b5d5356
https://doi.org/10.1007/978-3-031-13822-5_25
https://doi.org/10.1007/978-3-031-13822-5_25