Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chenyao Kang"'
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 282 (2019)
The convolutional neural network (CNN) has shown great potential in many fields; however, transferring this potential to synthetic aperture radar (SAR) image interpretation is still a challenging task. The coherent imaging mechanism causes the SAR si
Externí odkaz:
https://doaj.org/article/20038f851e7240cfb15e2871750770b8
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 4, p 111 (2017)
This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR) images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised a
Externí odkaz:
https://doaj.org/article/444f1c3cbfac49dcb86081426b3706da
Autor:
Li Hu, Shaoping Zhu, Xiaoping Peng, Kanglan Li, Wanjuan Peng, Yu Zhong, Chenyao Kang, Xingxing Cao, Zhou Liu, Bin Zhao
Background: Excessive salt intake is considered as an important risk factor for cognitive impairment, which might be the consequence of imbalanced intestinal homeostasis. Objective: To investigate the effects of dietary salt on the gut microbiota and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff8b40c53f546803374c199f4e5ca4f
https://doi.org/10.3233/aiad220029
https://doi.org/10.3233/aiad220029
Autor:
Zhou Liu, Shouchao Wei, Li Hu, Chenyao Kang, Zhiyou Cai, Shaoping Zhu, Zhuangsheng Wei, Wanjuan Peng, Haihong Zhou, Bin Zhao, Kanglan Li, Yingren Mai, Wei Wei, Wanxin Jie, Ruikai Li
Publikováno v:
Journal of Cellular Physiology. 235:4843-4855
Outer membrane vesicles (OMVs) are nanosized vesicles produced by the gut microbiota (GM). The GM is well-known to be involved in the pathological process of Alzheimer's disease (AD). However, the mechanism of OMVs is not clear. In the present study,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61240278719fa2b10aa52e2539860570
https://doi.org/10.1002/jcp.29362
https://doi.org/10.1002/jcp.29362
Autor:
Xingxing Cao, Xiaoping Peng, Wanjuan Peng, Shaoping Zhu, Bin Zhao, Kanglan Li, Chenyao Kang, Zhou Liu, Li Hu, Yu Zhong
Publikováno v:
Journal of Alzheimer's disease : JAD. 77(2)
Background: Excessive salt intake is considered as an important risk factor for cognitive impairment, which might be the consequence of imbalanced intestinal homeostasis. Objective: To investigate the effects of dietary salt on the gut microbiota and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8850c12ede3990fd27d29167732e3f
https://pubmed.ncbi.nlm.nih.gov/32741809
https://pubmed.ncbi.nlm.nih.gov/32741809
Autor:
Jia-Yuan Wu, Zhou Liu, Ying Wu, Yu Yang, Bin Zhao, Zhuangsheng Wei, Hao Wu, Yu-Sen Chen, Chenyao Kang
Publikováno v:
Neural Regeneration Research
Neural Regeneration Research, Vol 17, Iss 3, Pp 643-648 (2022)
Neural Regeneration Research, Vol 17, Iss 3, Pp 643-648 (2022)
It remains unclear whether limitations in activities of daily living (ADL) increase the risk of stroke in older Chinese adults. This longitudinal study used data from the Chinese Longitudinal Healthy Longevity Survey to investigate the effects of lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e146a6e9476e4a8310587a77149553
https://doi.org/10.4103/1673-5374.320994
https://doi.org/10.4103/1673-5374.320994
Publikováno v:
Remote Sensing
Volume 11
Issue 3
Remote Sensing, Vol 11, Iss 3, p 282 (2019)
Volume 11
Issue 3
Remote Sensing, Vol 11, Iss 3, p 282 (2019)
The convolutional neural network (CNN) has shown great potential in many fields
however, transferring this potential to synthetic aperture radar (SAR) image interpretation is still a challenging task. The coherent imaging mechanism causes the SA
however, transferring this potential to synthetic aperture radar (SAR) image interpretation is still a challenging task. The coherent imaging mechanism causes the SA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d963bab4d6b634951a95ea171510f6f3
https://doi.org/10.3390/rs11030282
https://doi.org/10.3390/rs11030282
Autor:
Chu He, Chenyao Kang
Publikováno v:
IGARSS
In this paper, a classification method based on multi-layer network and transfer learning has been developed for synthetic aperture radar (SAR) images inspired by recent successful deep learning methods. Multi-layer network has excellent performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5889927d36d86d806ed6ec034108bfc6
https://doi.org/10.1109/igarss.2016.7729290
https://doi.org/10.1109/igarss.2016.7729290