Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Feiyun Zhu"'
Autor:
Ying Yang, Ye Wang, Yanping Mao, Feiyun Zhu, Man Zhang, Mengshan Pan, Tongle Yin, Jiamin Xu, Rucheng Chen, Weijun Zheng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study explores the association between LE8 scores and mortality risks among individuals diagnosed with cardiovascular disease (CVD). Utilizing data from the NHANES conducted between 2005 and 2018, survey-weighted multivariable Cox propo
Externí odkaz:
https://doaj.org/article/e34d7da8aa53404285ca827a7a26bb53
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The aim of this study were to estimate associations of sarcopenic status with depressive symptoms. We used mixed-effects linear model to estimate longitudinal association between sarcopenic status and rate of change in 10-item Center for Epi
Externí odkaz:
https://doaj.org/article/8ca6e02d047f4486b2d1591a11ce1d66
Publikováno v:
Arabian Journal of Geosciences. 14
Publikováno v:
Arabian Journal of Geosciences. 14
Many environmental safety issues in real life have hidden periods. Take environmental pollution as an example. Excessive automobile exhaust gas may not have obvious adverse effects on the environment in a short period of time, but over time postpone,
POLLUTION STATUS AND HEALTH IMPACT ASSESSMENT OF ANTIBIOTICS IN ENVIRONMENTAL -- AND DRINKING WATER.
Autor:
Guihua Zheng1,2, Yiyi Yang1, Linghui Deng1, Ting Zhang1, Feiyun Zhu1, Jing Sun1, Shuangjiang Li1, Xiaonan Feng2
Publikováno v:
Fresenius Environmental Bulletin. Feb2022, Vol. 31 Issue 2, p1779-1787. 9p.
Publikováno v:
Neurocomputing. 205:407-420
Accurate road centerline extraction from very-high-resolution (VHR) remote sensing imagery has various applications, such as road map generation and updating etc. There are three shortcomings of existing methods: (a) due to noise and occlusions, most
Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 13:545-549
Accurate road centerline extraction from remotely sensed images plays a significant role in road map generation and updating. In the road extraction problem, the acquisition of labeled data is time consuming and costly; thus, there are only a small a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:595-608
In recent years, hyperspectral image classification (HSIC) has received increasing attention in a wide range of hyperspectral applications. It is still very challenging due to the following factors: 1) there are not enough labeled samples; 2) the ima
A label propagation method using spatial-spectral consistency for hyperspectral image classification
Publikováno v:
International Journal of Remote Sensing. 37:191-211
In this article, a label propagation approach with automatic seed selection is developed for hyperspectral image classification. The core idea is to combine pixel-wise classification results with spatial information described by a data graph. Using o
Publikováno v:
IEEE Transactions on Image Processing. 24:4027-4040
Hyperspectral unmixing is one of the crucial steps for many hyperspectral applications. The problem of hyperspectral unmixing has proved to be a difficult task in unsupervised work settings where the endmembers and abundances are both unknown. In add