Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Wanzhen Lu"'
Publikováno v:
IEEE Access, Vol 9, Pp 42438-42448 (2021)
Deep convolutional networks are of great significance for the automatic semantic annotation of remotely sensed images. Object position and semantic labeling are equally important in semantic segmentation tasks. However, the convolution and pooling op
Externí odkaz:
https://doaj.org/article/908a8bbe05c0445e9f51bc9b45fa000b
Publikováno v:
IEEE Access, Vol 9, Pp 28349-28360 (2021)
The trade-off between feature representation capability and spatial positioning accuracy is crucial to dense classification or semantic segmentation of remote sensing images. In order to better balance the low-level spatial details in the shallow net
Externí odkaz:
https://doaj.org/article/3e23e503e4c1459a929e521b10ab9d62
Publikováno v:
IEEE Access, Vol 8, Pp 107802-107813 (2020)
With the widespread application of semantic segmentation in remote sensing images with high-resolution, how to improve the accuracy of segmentation becomes a research goal in the remote sensing field. An innovative Fully Convolutional Network (FCN) i
Externí odkaz:
https://doaj.org/article/4ffc8216802542b883f28c301cb8a163
Autor:
Xinfeng Xu, Yingtong Lin, Xiaoyun Zeng, Chan Yang, Siqin Duan, Liqiong Ding, Wanzhen Lu, Jian Lin, Xiaoyan Pan, Xiancai Ma, Shuwen Liu
Publikováno v:
Cells, Vol 11, Iss 15, p 2331 (2022)
At present, the barrier to HIV-1 functional cure is the persistence of HIV-1 reservoirs. The “shock (reversing latency) and kill (antiretroviral therapy)” strategy sheds light on reducing or eliminating the latent reservoir of HIV-1. However, the
Externí odkaz:
https://doaj.org/article/25274a6ce9b9451883f6472a506338cd
Publikováno v:
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Publikováno v:
IEEE Access, Vol 9, Pp 28349-28360 (2021)
The trade-off between feature representation capability and spatial positioning accuracy is crucial to dense classification or semantic segmentation of remote sensing images. In order to better balance the low-level spatial details in the shallow net
Publikováno v:
IEEE Access, Vol 9, Pp 42438-42448 (2021)
Deep convolutional networks are of great significance for the automatic semantic annotation of remotely sensed images. Object position and semantic labeling are equally important in semantic segmentation tasks. However, the convolution and pooling op
Publikováno v:
IEEE Access, Vol 8, Pp 107802-107813 (2020)
With the widespread application of semantic segmentation in remote sensing images with high-resolution, how to improve the accuracy of segmentation becomes a research goal in the remote sensing field. An innovative Fully Convolutional Network (FCN) i
Autor:
Xinfeng Xu, Liqiong Ding, Shuwen Liu, Pingzheng Zhou, Wanzhen Lu, Chan Yang, Lin Li, Ping Jiang
Publikováno v:
European journal of pharmacology. 892
Herpes simplex virus type 2 (HSV-2) is a highly contagious sexually transmitted virus. The increasing emergence of drug-resistant viral strains has highlighted the crucial need for the development of new anti-HSV-2 drugs with different mechanisms. Io
Publikováno v:
Biochemical pharmacology. 171
Resveratrol is a natural compound found in many plant species that has broad therapeutic benefits. Here, we investigated the effects of resveratrol on the replication of HSV-2. We found that resveratrol accelerated replication of HSV-2 and increased