Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Wujie Zhou"'
Fully human monoclonal antibodies against Ebola virus possess complete protection in a hamster model
Autor:
Wujian Li, Wanying Yang, Xueqin Liu, Wujie Zhou, Shen Wang, Zhenshan Wang, Yongkun Zhao, Na Feng, Tiecheng Wang, Meng Wu, Liangpeng Ge, Xianzhu Xia, Feihu Yan
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
Ebola disease is a lethal viral hemorrhagic fever caused by ebolaviruses within the Filoviridae family with mortality rates of up to 90%. Monoclonal antibody (mAb) based therapies have shown great potential for the treatment of EVD. However, the pote
Externí odkaz:
https://doaj.org/article/8eda2434f93341e8b1ad66aa4b641510
Publikováno v:
IEEE Access, Vol 11, Pp 100622-100631 (2023)
Anomaly detection is a crucial research field in computer vision with diverse applications in practical scenarios. The common anomaly detection methods employed currently consist of autoencoders, generative adversarial networks, and knowledge distill
Externí odkaz:
https://doaj.org/article/fda7e3dbdb424a2c9fe222e7200a9c8d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2025-2034 (2023)
Although progress has been made in multisource data scene parsing of natural scene images, extracting complex backgrounds from aerial images of various types and presenting the image at different scales remain challenging. Various factors in high-res
Externí odkaz:
https://doaj.org/article/69c17e1ada424ae8adac751efd38219c
Autor:
Wanying Yang, Wujian Li, Wujie Zhou, Shen Wang, Weiqi Wang, Zhenshan Wang, Na Feng, Tiecheng Wang, Ying Xie, Yongkun Zhao, Feihu Yan, Xianzhu Xia
Publikováno v:
Virologica Sinica (16740769); Jun2024, Vol. 39 Issue 3, p434-446, 13p
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103087- (2022)
Although significant progress has been made in scene classification of high-resolution remote-sensing images (HRRSIs), dual-modal HRRSI scene classification is still an active and challenging issue. In this study, we introduce an end-to-end dense-att
Externí odkaz:
https://doaj.org/article/009811ec0f5e48bcb30570a3a6097261
Publikováno v:
IEEE Access, Vol 8, Pp 202765-202773 (2020)
With the advent of convolutional neural networks, research progress in visual saliency prediction has been impressive. While integrating features at different stages from the backbone network is important, feature extraction itself is equally relevan
Externí odkaz:
https://doaj.org/article/655b44f13d4d4a8e90fdd7d047db8d96
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5510 (2022)
The success of deep learning and the segmentation of remote sensing images (RSIs) has improved semantic segmentation in recent years. However, existing RSI segmentation methods have two inherent problems: (1) detecting objects of various scales in RS
Externí odkaz:
https://doaj.org/article/671a7150331d4bcd8739069b82ffc2da
Publikováno v:
Information Fusion. 94:32-42
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:4794-4803
Publikováno v:
IEEE Access, Vol 7, Pp 169350-169358 (2019)
Indoor scene segmentation is a difficult task in computer vision. We propose an indoor scene segmentation framework, called DFMNet, incorporating RGB and complementary depth information to establish indoor scene segmentation. We use the squeeze-and-e
Externí odkaz:
https://doaj.org/article/4c045ebfb21747088dd78f5e8ea3eb96