Zobrazeno 1 - 5
of 5
pro vyhledávání: '"XiaoAn Wan"'
Autor:
Haiyan Song, Ke Zhao, Xiaoan Wang, Guoliang Jiang, Jing Li, Chengyong He, Lingli Wang, Shuxia Sun, Meiyan Tu, Qiang Wang, Ronggao Gong, Dong Chen
Publikováno v:
Plants, Vol 13, Iss 22, p 3171 (2024)
The early-ripening peach industry has undergone rapid development in the Panxi region of the Sichuan Basin in recent years. However, after the introduction of some new peach varieties to the high-altitude peach-producing areas in Panxi, the titratabl
Externí odkaz:
https://doaj.org/article/996088075a7e4a39a6b2364f1a1ccfc4
Autor:
Bin Jiao, Rihui Li, Hui Zhou, Kunqiang Qing, Hui Liu, Hefu Pan, Yanqin Lei, Wenjin Fu, Xiaoan Wang, Xuewen Xiao, Xixi Liu, Qijie Yang, Xinxin Liao, Yafang Zhou, Liangjuan Fang, Yanbin Dong, Yuanhao Yang, Haiyan Jiang, Sha Huang, Lu Shen
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-14 (2023)
Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related to different stages of Alzheimer’s disease (AD). However, the effectiveness of EEG in the precise diagnosis and asses
Externí odkaz:
https://doaj.org/article/2ffe54ead5bc44689ae0365a8aabaa06
Publikováno v:
Motivation and Emotion. 39:309-319
A relative in-group advantage for recognizing emotional facial expressions presented at full intensity has been documented. The present study examined whether this in-group advantage also existed for the recognition of subdued expressions. American a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772d43997250a665311d0f7ec67e97b9
https://doi.org/10.1007/s11031-014-9454-x
https://doi.org/10.1007/s11031-014-9454-x
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract An increasing number of studies have been devoted to electroencephalogram (EEG) identity recognition since EEG signals are not easily stolen. Most of the existing studies on EEG person identification have only addressed brain signals in a si
Externí odkaz:
https://doaj.org/article/a7395cdf995b44d98d59146d6097a4ab
Autor:
Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie Xu, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C.-J. Richard Shi, Junwen Luo, Yuan Xie
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Action recognition is an exciting research avenue for artificial intelligence since it may be a game changer in emerging industrial fields such as robotic visions and automobiles. However, current deep learning (DL) faces major challenges for such ap
Externí odkaz:
https://doaj.org/article/37343ad3ba0c4c60ab877c7194dac682