Zobrazeno 1 - 10
of 19
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
Since wind at the earth's surface has an intrinsically complex and stochastic nature, accurate wind power forecasts are necessary for the safe and economic use of wind energy. In this paper, we investigated a combination of numeric and probabilistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e59ff761c1a057521ba1437c4f4ef8c
https://publications.aston.ac.uk/id/eprint/25571/1/Wind_power_forecasts_using_Gaussian_processes_and_numerical_weather_prediction.pdf
https://publications.aston.ac.uk/id/eprint/25571/1/Wind_power_forecasts_using_Gaussian_processes_and_numerical_weather_prediction.pdf
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
Accurate wind speed forecasts are necessary for the safety and economy of the renewable energy utilization. The wind speed forecasts can be obtained by statistical model based on historical data. In this paper, a novel W-GP model (wavelet decompositi
Publikováno v:
2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control.
A portable fault diagnosis device for electric locomotive, which is online operational, is introduced in this paper. It realizes fault analysis and diagnosis, fault information storage and fault treatment method prompting for locomotive. Both softwar