Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Daihong, Jiang"'
Publikováno v:
IEEE Access, Vol 8, Pp 185198-185208 (2020)
Currently, deep-learning-based methods have been the most popular super-resolution techniques owing to the improvement of super-resolution performance. However, they are still lack perceptual fine details and thus result in unsatisfying visual qualit
Externí odkaz:
https://doaj.org/article/58acfd3ff7054cfa8c78aad0433d8692
Autor:
Tiankai Sun, Xingyuan Wang, Kejun Zhang, Daihong Jiang, Da Lin, Xunguang Jv, Bin Ding, Weidong Zhu
Publikováno v:
Entropy, Vol 24, Iss 6, p 798 (2022)
The transmission of digital medical information is affected by data compression, noise, scaling, labeling, and other factors. At the same time, medical data may be illegally copied and maliciously tampered with without authorization. Therefore, the c
Externí odkaz:
https://doaj.org/article/ddc37e2f0e1a4e308242a8410556e0f4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
In this article, based on wavelet reconstruction and fractal dimension, a medical image authentication method is implemented. According to the local and global methods, the regularity of the mutation structure in the carrier information is analyzed t
Externí odkaz:
https://doaj.org/article/11a559a376234ad7b6210c1b1e30b767
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-8
In order to improve the accuracy of video image moving target recognition and shorten the recognition time, a video image moving target recognition method based on a generation countermeasure network is proposed. Firstly, the image sensor is used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0de973fd12d6da8beff1cd2b70a77d
https://doi.org/10.1155/2022/7972845
https://doi.org/10.1155/2022/7972845
Publikováno v:
Scientific Programming. 5/4/2021, p1-10. 10p.
Publikováno v:
Wireless Networks. 27:4451-4459
In wireless communication, the sender needs to select an optimal wireless channel from several available ones. However, the instantaneous channel state is time-varying with unknown statistics. Therefore, the channel selection must be based on channel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2516c22fc0f0b06e21abc2a1a8278952
https://doi.org/10.1007/s11276-021-02663-6
https://doi.org/10.1007/s11276-021-02663-6
Publikováno v:
IEEE Access, Vol 8, Pp 185198-185208 (2020)
Currently, deep-learning-based methods have been the most popular super-resolution techniques owing to the improvement of super-resolution performance. However, they are still lack perceptual fine details and thus result in unsatisfying visual qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff2a35430e60bf3432a22959fe1922ab
https://ieeexplore.ieee.org/document/9220103/
https://ieeexplore.ieee.org/document/9220103/
Publikováno v:
Journal of Engineering Science & Technology Review. 2019, Vol. 12 Issue 5, p148-156. 9p.
Akademický článek
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Publikováno v:
Wireless Networks.
Aiming for the ResNet network structure used for feature extraction, there are still problems of overfitting, slow calculation speed and room for improvement of accuracy. A mixed depthwise separation residual network is proposed for image feature ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ce3833eee8e5e3f18dfea65e4c0a46
https://doi.org/10.1007/s11276-021-02665-4
https://doi.org/10.1007/s11276-021-02665-4