Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Xiankun Sun"'
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Background: Aspirin is widely used as an antiplatelet agent for secondary prevention in patients with atherosclerotic cardiovascular disease. However, it remains unclear whether aspirin can prevent the progression of carotid atherosclerosis or reduce
Externí odkaz:
https://doaj.org/article/19190519242b43c78764c084ee4b2005
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-11 (2019)
Abstract Aiming at the sensitivity of fuzzy C-means (FCM) method to the initial clustering center and noise data, and the single feature being not able to segment the image effectively, this paper proposes a new image segmentation method based on fuz
Externí odkaz:
https://doaj.org/article/3161e2ce938241a6a1cbdd4c54d4ab11
Publikováno v:
IEEE Access, Vol 7, Pp 164507-164516 (2019)
The efficient classification of remote sensing images (RSIs) has become the key of remote sensing application. To tackle the high computational cost in the traditional classification method, in this paper we propose a new RSI classification method ba
Externí odkaz:
https://doaj.org/article/f114294c3c2746e995d5cfe8bb83ff2e
Publikováno v:
Entropy, Vol 22, Iss 9, p 947 (2020)
In this paper is given a three-dimensional numerical simulation of the eddy current welding of rails where the longitudinal two directions are not ignored. In fact, usually it is considered a model where, in the two-dimensional numerical simulation o
Externí odkaz:
https://doaj.org/article/6f145c7483644666bf5c18632a0ccba5
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2017 (2017)
We propose a novel approach for low-light image enhancement. Based on illumination-reflection model, the guided image filter is employed to extract the illumination component of the underlying image. Afterwards, we obtain the reflection component and
Externí odkaz:
https://doaj.org/article/fe50baf330c14dad9126f8d4b339f8d2
Autor:
Fang Wang, Min Zhang, Xu Li, Xiankun Sun, Xuanchen He, Mingjing Guan, Zhiwen Chen, Li Lin, Xue Tang, Ling Zhang
Publikováno v:
Seminars in Dialysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9e36878bfcaf3bab4d970f1e1eddcd
https://doi.org/10.1111/sdi.13147
https://doi.org/10.1111/sdi.13147
Publikováno v:
IEEE Sensors Journal. 20:11802-11811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef57129c44d2894c3e9e32d0ac050717
https://doi.org/10.1109/jsen.2019.2942617
https://doi.org/10.1109/jsen.2019.2942617
Publikováno v:
Neural Computing and Applications. 33:667-679
Heterogeneous data have become a key issue restricting the monitoring accuracy of volcanic ash cloud and rapid application of remote sensing. In view of the characteristics of classification and heterogeneous data in volcanic ash cloud monitoring, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdde1abb8c2646f757655863030a6b4
https://doi.org/10.1007/s00521-020-05050-y
https://doi.org/10.1007/s00521-020-05050-y
Classification of Medical Text Data Using Convolutional Neural Network-Support Vector Machine Method
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:1746-1753
Conventional methods of medical text data classification, neglect of context among different words and semantic information, has a poor text description, classification effect and generalization capability and robustness. To tackle the inefficiencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a87449637eea93726ef22d9c28890a
https://doi.org/10.1166/jmihi.2020.3042
https://doi.org/10.1166/jmihi.2020.3042
Publikováno v:
Computer Communications. 153:397-405
The weak seismic thermal infrared (TIR) anomaly information in offshore earthquake is one of the important contents of earthquake monitoring and event alert and detection of smart cities in coastal areas. To tackle the characteristics of offshore sei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55935b0122136a291a5c4af94c1d7d4a
https://doi.org/10.1016/j.comcom.2020.02.023
https://doi.org/10.1016/j.comcom.2020.02.023