Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Feng, Yanchun"'
Autor:
Liu, Jun, Luo, Dandong, Chen, Xiaochuan, Liu, Jiaqi, Chen, Junxiong, Shi, Mengchen, Dong, Haiyan, Xu, Yucheng, Wang, Xinyou, Yu, Zhaoliang, Liu, Huanliang, Feng, Yanchun
Publikováno v:
In Translational Oncology January 2025 51
Publikováno v:
In Journal of Analytical and Applied Pyrolysis June 2024 180
Autor:
Tian, Yu, Liang, Liumei, Chen, Junxiong, Liu, Jiaqi, Su, Yixi, Shi, Mengchen, Li, Weiqian, Zhang, Jingdan, Feng, Yanchun, He, Lingyuan, Liu, Huanliang, Yang, Xiangling
Publikováno v:
In Experimental Cell Research 1 October 2023 431(1)
Autor:
Feng, Yanchun1,2,3,4,5 (AUTHOR), Jiang, Yingming2,3,4,5,6 (AUTHOR), Liu, Jun1,2,3,4,5 (AUTHOR), Liu, Jiaqi1,2,3,4,5 (AUTHOR), Shi, Mengchen1,2,3,4,5 (AUTHOR), Chen, Junxiong1,2,3,4,5 (AUTHOR), Zhang, Jingdan1,2,3,4,5 (AUTHOR), Tian, Yu1,2,3,4,5 (AUTHOR), Yang, Xiangling1,2,3,4,5 (AUTHOR) yangxl28@mail.sysu.edu.cn, Liu, Huanliang1,2,3,4,5 (AUTHOR) liuhuanl@mail.sysu.edu.cn
Publikováno v:
Journal of Translational Medicine. 10/19/2023, Vol. 21 Issue 1, p1-15. 15p.
Autor:
Jiang, Yingming1,2,3,4 (AUTHOR), Feng, Yanchun3,4,5 (AUTHOR), Huang, Jintuan2,3,4 (AUTHOR), Huang, Zhenze2,3,4 (AUTHOR), Tan, Rongchang2,3,4 (AUTHOR), Li, Tuoyang2,3,4 (AUTHOR), Chen, Zijian2,3,4 (AUTHOR), Tang, Xiaocheng2,3,4 (AUTHOR), Qiu, Jun2,3,4 (AUTHOR), Li, Chujun1,3,4 (AUTHOR) lichujun@mail.sysu.edu.cn, Chen, Hao2,3,4 (AUTHOR) chenhao29@mail.sysu.edu.cn, Yang, Zuli2,3,4 (AUTHOR) yangzuli@mail.sysu.edu.cn
Publikováno v:
Journal of Translational Medicine. 9/17/2023, Vol. 21 Issue 1, p1-15. 15p.
Publikováno v:
In Fuel 1 September 2021 299
Autor:
Yang, Sen, Zhou, Jiaqian, Watkins, Christopher B., Wu, Caie, Feng, Yanchun, Zhao, Xiaoyang, Xue, Zhaohui *, Kou, Xiaohong *
Publikováno v:
In Postharvest Biology and Technology August 2021 178
Autor:
DU Shishuai, QIU Tian, LI Lingqiao, HU Jinquan, ZHENG Anbing, FENG Yanchun, HU Changqin, YANG Huihua
Publikováno v:
Jisuanji kexue yu tansuo, Vol 14, Iss 2, Pp 260-273 (2020)
Near-infrared spectroscopy technology is highly effective in pharmaceutical analysis. For high-dimensional and non-linear small-scale near-infrared data, traditional drug identification algorithms lack enough feature learning ability, neural network-
Externí odkaz:
https://doaj.org/article/14749750ccfa4f0292c4579a82b63f04
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