Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Niya, Chen"'
Autor:
Yiyu Zeng, Jinyu Luo, Moxin Zi, Shanshan Jiang, Wenhui Ge, Yi Yu, Niya Chen, Jiaming Lin, Xiaoyan Xie
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Background Oral squamous cell carcinoma arising from oral submucous fibrosis is recognized as a clinicopathologically distinct disease. This study aims to summarize and compare the population and clinicopathologic characteristics of OSCC-OSF
Externí odkaz:
https://doaj.org/article/14a22482d77f4ce185a001d764b7bcf4
Publikováno v:
智能科学与技术学报, Vol 1, Pp 88-95 (2019)
Irregular-shape food picking and processing is a common problem in industrial automation,which can be difficult for classical image processing techniques,because of the big variations in food shape and characteristics,also the high-performance requir
Externí odkaz:
https://doaj.org/article/46c8616f4f7346eda3f9aa56cc206ebd
Autor:
Leigang Zhang, Niya Chen
Publikováno v:
Journal of Psychology in Africa. 30:295-299
This study examined meaningful work and vocational identity influences on the relationship between perceived family supportive supervisor behaviour (FSSB) and career satisfaction among educators. P...
Publikováno v:
Applied Energy. 235:939-953
With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various met
Publikováno v:
IET Renewable Power Generation. 11:403-410
Rapid development of wind energy requires effective wind turbine prognosis methods, which can give alarm before actual failure happens and hence enables condition-based maintenance. A hierarchical method based on GP (Gaussian Processes) and PCA (Prin
Publikováno v:
Proceedings of the 3rd International Conference on Robotics, Control and Automation.
Irregular-shape food processing by robotic arms like shrimp picking is a common problem in industrial automation, which can be summarized as localization of particular points on an image, emphasizing on both good accuracy and high speed with relative
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
Probabilistic short-term wind power forecasting is greatly significant for the operation of wind power scheduling and the reliability of power system. In this paper, an approach based on Sparse Bayesian Learning (SBL) and Numerical Weather Prediction
Publikováno v:
2016 International Conference on Condition Monitoring & Diagnosis (CMD); 2016, p790-793, 4p
Publikováno v:
2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA); 2015, p1-6, 6p
Publikováno v:
International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants; 2015, p639-643, 5p