Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhenping Qi"'
Autor:
Tengfei Wang, Wenqing Zhao, Zhenping Qi, Shan Lv, Yufei Xiao, Yingjie Wang, Qiao Guo, Lulu Wang, Xiuli Peng
Publikováno v:
Poultry Science, Vol 103, Iss 5, Pp 103652- (2024)
ABSTRACT: Mycoplasma gallisepticum (MG) is a highly contagious avian respiratory pathogen characterized by rapid spread, widespread distribution, and long-term persistence of infection. Previous studies have shown that chicken macrophage HD11 cells p
Externí odkaz:
https://doaj.org/article/af7d3ad6db154e1db17b4e37924e8a1f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The main advantage of DDIM is that it guarantees the quality of the generated images while increasing the efficiency of the generation by modifying the sampling strategy in the diffusion process. DiffusionRig, which addresses the problem of
Externí odkaz:
https://doaj.org/article/4bcce3a255414f958a5b10e00aa26c4b
Publikováno v:
Bulletin of the Korean Chemical Society. 40:787-790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11d4d6208fc54fdca359e189ec61bccc
https://doi.org/10.1002/bkcs.11819
https://doi.org/10.1002/bkcs.11819
Publikováno v:
IEEE Access, Vol 12, Pp 3581-3596 (2024)
Image restoration is a crucial task in computer vision, aiming to fill in missing areas within an image to restore its integrity. Traditional methods fall short when dealing with intricate facial image restoration, often failing to produce high-quali
Externí odkaz:
https://doaj.org/article/0f2a5e54095a4c3299047674206496cc
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3810 (2024)
Accurate coffee plant counting is a crucial metric for yield estimation and a key component of precision agriculture. While multispectral UAV technology provides more accurate crop growth data, the varying spectral characteristics of coffee plants ac
Externí odkaz:
https://doaj.org/article/4011dbc582fc40a89675ae0b1fbf9b8d
Autor:
Mingliang Zuo, Xiaoli Hu, Zhenping Qi, Duoduo Zhang, Hua Zuo, Changping Yang, Xuelin Chen, Xiaoyan Zhao
Publikováno v:
Canadian Journal of Chemistry. 96:1129-1133
A novel fluorescent rhodamine-based probe L for selective responding to ClO– has been synthesized and characterized. The spectroscopy showed that probe L can detect ClO– in aqueous solution without interaction with other interfering ions, and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2130ee100c33092b41a5a695794f7ab1
https://doi.org/10.1139/cjc-2018-0123
https://doi.org/10.1139/cjc-2018-0123
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1502 (2024)
In recent years, the estimation of tobacco field areas has become a critical component of precision tobacco cultivation. However, traditional satellite remote sensing methods face challenges such as high costs, low accuracy, and susceptibility to noi
Externí odkaz:
https://doaj.org/article/1339ddab28624a4589221233d0565c01
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Tobacco is a valuable crop, but its disease identification is rarely involved in existing works. In this work, we use few-shot learning (FSL) to identify abnormalities in tobacco. FSL is a solution for the data deficiency that has been an obstacle to
Externí odkaz:
https://doaj.org/article/d8e2d59fc92f4747a4a3a6dedc2a226b
Publikováno v:
New Journal of Chemistry. 39:4020-4025
Multi-modal imaging in tissue and animals has integrated the advantages of individual molecular imaging modalities and shown great potential in both pre-clinical and clinical fields. In the present work, a high-performance nanoparticulate contrast ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efd9dcbdc2bdafb904d7e1ebb591815a
https://doi.org/10.1039/c5nj00150a
https://doi.org/10.1039/c5nj00150a
Autor:
Zhenping Qi, Qiushuang Zhu, Jie Zeng, Chengde Mao, Cheng Zhi Huang, Wenhao Fu, Hua Zuo, Huawei He
Publikováno v:
Small. 15:1970136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ddb7b66c9ebde71f2c4c7a3b9262602
https://doi.org/10.1002/smll.201970136
https://doi.org/10.1002/smll.201970136