Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Jiazhen Liu"'
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract The escalation of urban traffic congestion has reached a critical extent due to rapid urbanization, capturing considerable attention within urban science and transportation research. Although preceding studies have validated the scale-free d
Externí odkaz:
https://doaj.org/article/c1c72212c5824f69ad735a1014252a8b
Autor:
Ke Dong, Weizhou Li, Qiuhong Xu, Zehui Hong, Shirong Zhang, Baochao Zhang, Yating Wu, Haojiang Zuo, Jiazhen Liu, Ziwen Yan, Xiaofang Pei
Publikováno v:
BMC Microbiology, Vol 23, Iss 1, Pp 1-17 (2023)
Abstract Background The traditional Sichuan Sun-dried vinegar (SSV) with unique flavor and taste is believed to be generated by the solid-state fermentation craft. However, how microorganisms and their metabolites change along with fermentation has n
Externí odkaz:
https://doaj.org/article/486c57416bc5452f9ea0eb10d6d7be3b
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
IntroductionStaphylococcus aureus infection has long been a serious concern in the medical field, with methicillin-resistant Staphylococcus aureus (MRSA) posing a considerable challenge to public health. Given the escalating bacterial resistance and
Externí odkaz:
https://doaj.org/article/555ac82889624820abe6ccf1ff8aa739
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Enterococcus faecalis is a common gram-positive non-spore-forming bacterium in nature and is found in the upper respiratory tract, intestine, and mouth of healthy people. E. faecalis is also one of the common pathogens causing nosocomial infections a
Externí odkaz:
https://doaj.org/article/92958df289674ceea15aefcc1f4ffe62
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 6221 (2022)
Corn harvester row alignment is a critical factor to improve harvesting quality and reduce cob drop loss. In this paper, a corn harvester automatic row alignment system is designed with a self-propelled corn combine harvester, incorporating a front-e
Externí odkaz:
https://doaj.org/article/e097f068af774b45b94fddc8722e55e8
Publikováno v:
Universe, Vol 6, Iss 4, p 60 (2020)
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has produced massive medium-resolution spectra. Data mining for special and rare stars in massive LAMOST spectra is of great significance. Feature extraction plays an important ro
Externí odkaz:
https://doaj.org/article/80cf83eac38340cb9a5d77a93112881f
Autor:
Qiu Zhong, Binyou Liao, Jiazhen Liu, Wei Shen, Jing Wang, Leilei Wei, Yansong Ma, Pu-Ting Dong, Bor, Batbileg, McLean, Jeffrey S., Yunjie Chang, Wenyuan Shi, Lujia Cen, Miaomiao Wu, Jun Liu, Yan Li, Xuesong He, Shuai Le
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 4/16/2024, Vol. 121 Issue 16, p1-12, 16p
Autor:
Yuhao Xie, Siwei Yang, Shenghua Zhou, Jiazhen Liu, Shuai Zhao, Shangzhong Jin, Qiang Chen, Pei Liang
Publikováno v:
Journal of Raman Spectroscopy. 54:191-200
Autor:
Jiazhen Liu, Yi Zhou
Publikováno v:
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE).
Autor:
Siwei Yang, Yuhao Xie, Jiazhen Liu, Shuai Zhao, Shangzhong Jin, De Zhang, Qiang Chen, Jie Huang, Pei Liang
Publikováno v:
The Analyst. 147(23)
In recent years, deep learning has been widely used in the field of Raman spectral classification. However, the majority of the training and test sets are generated by the same device (generally a portable Raman spectrometer), with little difference