Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Meiyu Qian"'
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Objective Extensive research has explored the link between saturated fatty acids (SFAs) and cardiovascular diseases, alongside other biological dysfunctions. Yet, their association with cancer risk remains a topic of debate among scholars. T
Externí odkaz:
https://doaj.org/article/86b4d779f510441cb080dd97df7f3a7a
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
AimsThis study aimed to design the Chinese Modified Olfactory Identification (CMOI) test based on the Sniffin' Sticks Olfactory Identification (SSOI) test by changing unfamiliar distractors and odors for more familiar ones for the Chinese population.
Externí odkaz:
https://doaj.org/article/21e829b79f254f9dae15b3aa13c0f024
Aims: This study aimed to design the Chinese Modified Olfactory Identification (CMOI) test based on the Sniffin’ Sticks Olfactory Identification (SSOI) test and to present participants’ sensitivity to unpleasant odors. Materials and methods: We r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97b3617ee1b52dea69acfc890f7d54c
https://doi.org/10.22541/au.166109762.27982155/v1
https://doi.org/10.22541/au.166109762.27982155/v1
Autor:
Nanxi Huang, Meiyu Qian, Fengyuan Yu, Xiaomei Peng, Kun Yuan, Yu Li, Hongguan Chen, Pengfeng Liu, Zhi Cheng, Qian Cai, Qin Runtian, Xiaoying Li, Chengfeng Cai, Kongling Liu, Ziwei Wang, Juan Yu
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 37:4677-4685
Autor:
Junwen Guo, Meiyu Qian, Peiyun Xiao, Pengfeng Liu, Kun Yuan, Wan Wu, Huan Yan, Xiaoying Li, Fengyuan Yu, Qian Cai, Juan Yu, Ziwei Zhou, Luman Qin, Hongxin Liu, Yu Li
Publikováno v:
Cluster Computing. 22:9515-9524
It is important to recognize the rice image captured by unmanned aerial vehicle (UAV) for monitoring the growth of rice and preventing the diseases and pests. Aiming at the image recognition, we use rice images captured by UAV as our data source, the
Autor:
Kun Yuan, Junwen Guo, Yi-Ming Feng, Lei Ding, Xiaoying Li, Huan Yan, Meiyu Qian, Fengyuan Yu, Renzhuo Wan, Pengfeng Liu, Si-Yuan Wang, Peng Hou, Qian Cai, Yu Li, Tian Zheng, Juan Yu
Publikováno v:
Cluster Computing. 22:9435-9443
Aiming at the three main problems of power system—leakage, high temperature and physical damage, a new image fusion of fault detection method in power system based on deep learning is proposed in this paper. The core of deep learning is achieved by
Autor:
Juan Yu, Meiyu Qian, Qian Cai, Junwen Guo, Yu Li, Huan Yan, Fengyuan Yu, Kun Yuan, Pengfeng Liu
Publikováno v:
Wireless Personal Communications. 102:1557-1571
Target recognition system based on machine learning has the problems of long delay, high power-consuming and high cost, which cause it difficult to be promoted in some small embedded devices. In order to develop a target recognition system based on m
Autor:
Ziwei Zhou, Yu Li, Pengfeng Liu, Huan Yan, Kun Yuan, Fengyuan Yu, Junwen Guo, Meiyu Qian, Juan Yu, Qian Cai
Publikováno v:
Wireless Personal Communications. 102:1573-1587
The remote health monitoring system (RHMS) has become more real-time because the internet plus technology develops quickly. To support real-time health monitoring server, three main aspects, such as collecting, transferring and analyzing the health d