Zobrazeno 1 - 10
of 794
pro vyhledávání: '"ZHANG Xiao-ying"'
Publikováno v:
Cailiao gongcheng, Vol 47, Iss 5, Pp 129-136 (2019)
Basalt fiber(BF) was modified with chitosan to investigate the influence of the surface modification on biofilm attachment properties. The surface functional groups, composition and morphology were characterized by Fourier transform infrared spectros
Externí odkaz:
https://doaj.org/article/cb93bd1e1bde4e53be68063b4f69bc3a
Publikováno v:
International Journal of Hyperthermia, Vol 36, Iss 1, Pp 87-94 (2019)
Objective: To evaluate the long-term clinical effect of high-intensity focussed ultrasound (HIFU) as a non-invasive modality for ablation of abdominal wall endometriosis (AWE) foci. Methods: All women who were diagnosed with cutaneous endometriosis a
Externí odkaz:
https://doaj.org/article/ba70555737b84756a21cf06848c8d05a
Publikováno v:
工程科学学报, Vol 40, Iss 6, Pp 754-759 (2018)
In the current construction industry, exterior wall external insulation systems are widely used but suffer some obvious weathering problems such as deformation, drop in thermal insulation, and fracture of the surface layers. To investigate the weathe
Externí odkaz:
https://doaj.org/article/6eca5321c0c14fa1a5a2f0a10c0d2755
Autor:
Wang, Ming-Ming, Zhang, Xiao-Ying
Bayesian networks are powerful tools for probabilistic analysis and have been widely used in machine learning and data science. Unlike the time-consuming parameter training process of neural networks, Bayes classifiers constructed on Bayesian network
Externí odkaz:
http://arxiv.org/abs/2401.01588
Publikováno v:
Tongxin xuebao, Vol 31, Pp 38-45 (2010)
A new joint symbol detection and channel estimation algorithm was proposed for MIMO-OFDM systems over the time-varying fading channel based on the variational Bayes expectation maximization algorithm and Turbo principle.The channel estimation error c
Externí odkaz:
https://doaj.org/article/51fad93150374877880c40883e47c3ba
Autor:
Zhang, Xiao-Ying, Wang, Ming-Ming
Quantum machine learning has shown advantages in many ways compared to classical machine learning. In machine learning, a difficult problem is how to learn a model with high robustness and strong generalization ability from a limited feature space. C
Externí odkaz:
http://arxiv.org/abs/2210.06785
Autor:
Lv, Jun-li, Lai, Wen-qing, Pang, Lei, Zhang, Xiao-ying, Zheng, Kai-yi, Zhang, Qiang, Lu, Zhan-peng, Wang, Zhi-sheng, Lisan, Fasihul, Wang, Xue-yang, Hu, Lu-feng, Deng, Ming-jie
Publikováno v:
In Journal of Asia-Pacific Entomology December 2024 27(4)
Autor:
Fang, Kai, Kou, Yong-Ping, Tang, Na, Liu, Jia, Zhang, Xiao-Ying, He, He-Liang, Xia, Rui-Xue, Zhao, Wen-Qiang, Li, Dan-Dan, Liu, Qing
Publikováno v:
In Microbiological Research September 2024 286
Autor:
Chen, Han-Bin, Hsu, Chia-Hsun, Wu, Wan-Yu, Zhang, Wen-Zhi, Zhang, Jing, Zhang, Xiao-Ying, Gao, Peng, Wuu, Dong-Sing, Lai, Feng-Min, Lien, Shui-Yang, Zhu, Wen-Zhang
Publikováno v:
In Applied Surface Science 30 August 2024 665