Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xiuliang Xi"'
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 11, Pp n/a-n/a (2023)
The purpose of the infrared and visible image fusion is to generate a fused image with rich information. Although most fusion methods can achieve good performance, there are still shortcomings in extracting feature information from source images, whi
Externí odkaz:
https://doaj.org/article/5f98b3a15f164932986280d2f44cb35c
Publikováno v:
IET Image Processing, Vol 17, Iss 3, Pp 733-746 (2023)
Abstract This work presents a multi‐focus image fusion method based on Transformer and U‐Net with an unsupervised training fashion. In this work, the authors introduce Transformer into image fusion because it has great ability to capture the glob
Externí odkaz:
https://doaj.org/article/cfe5a12866b34d5f808cb3429049274c
Publikováno v:
2022 18th International Conference on Mobility, Sensing and Networking (MSN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aedf9b6a227ed6a812e49b2549ea7927
https://doi.org/10.1109/msn57253.2022.00096
https://doi.org/10.1109/msn57253.2022.00096
Autor:
Zhili Guo, Liyong Liu, Jie Gong, Na Han, Lihua He, Weijing Wang, Fanliang Meng, Xiuliang Xia, Jianzhong Zhang, Fei Zhao
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 28, Iss , Pp 180-184 (2022)
ABSTRACT: Objectives: We analysed the molecular features and antimicrobial susceptibility of Mycoplasma pneumoniae isolates from Weihai, China, in 2019. Methods: Pharyngeal swabs of 160 paediatric patients with pneumonia-related symptoms were collect
Externí odkaz:
https://doaj.org/article/89278df8be5e4d7dab871c26fcafc3d2