Zobrazeno 1 - 10
of 21 125
pro vyhledávání: '"Adversarial network"'
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1829-1836 (2024)
The progression of translating text into images has been an imperative topic of research. The significant challenges arise from translating visual to textual information and vice versa. High-quality images can be generated from text using a Generativ
Externí odkaz:
https://doaj.org/article/83a14971db404021aacfc1c53afafaad
Autor:
Ma, Yongqing, Zheng, Yifeng, Zhang, Wenjie, Wei, Baoya, Lin, Ziqiong, Liu, Weiqiang, Li, Zhehan
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 705-736.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-05-2024-0202
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 787-806.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2023-0523
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Hyperspectral remote sensing images obtained from cameras are characterized by high-dimensions and low quality, which makes them unfavorable for various analytics purposes. This is due to the presence of visible and invisible frequencies of
Externí odkaz:
https://doaj.org/article/0de38ef9472c4618a6f24e8919b3b436
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The importance of mental health is increasingly emphasized in modern society. The assessment of mental health qualities among college and university students as the future workforce holds significant significance. Therefore, this study, aimi
Externí odkaz:
https://doaj.org/article/d1a3b38b322b41a18ec3d8f01c9df966
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-21 (2024)
Abstract With the development of deep learning technology, great progress has been made in the field of coverless steganography based on deep learning technology, including some selection-based steganography methods that use deep learning technology
Externí odkaz:
https://doaj.org/article/2195eb788df24c2fa88267665d906792
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract Ancient murals, invaluable cultural artifacts, frequently suffer damage from environmental and human factors, necessitating effective restoration techniques. Traditional methods, which rely on manual skills, are time-consuming and often inco
Externí odkaz:
https://doaj.org/article/b08975ccdf614eacbbd8d9e830e7cff3
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 16, Pp 3731-3742 (2024)
Abstract A novel Wasserstein generative adversarial network (WGAN) is proposed for stochastic wind power output scenario generation. Wasserstein distance with gradient penalty adapts to the gradient vanishing problem that is easy to occur in the new
Externí odkaz:
https://doaj.org/article/8e2d413f606d4c529a6575c1d42b279f
Publikováno v:
IET Communications, Vol 18, Iss 19, Pp 1541-1550 (2024)
Abstract The radio map serves as a vital tool in assessing wireless communication networks and monitoring radio coverage, providing a visual representation of electromagnetic spatial characteristics. To address the limitation of low accuracy in curre
Externí odkaz:
https://doaj.org/article/106ca1801ea44f29be84415ec60acc28
Autor:
Kališková Lenka, Butka Peter
Publikováno v:
Acta Electrotechnica et Informatica, Vol 24, Iss 4, Pp 11-18 (2024)
Generative Adversarial Network (GAN) is an exciting innovation in machine learning within the neural network field. These models are able to generate a realistic image, video or even voice output. One of the useful applications is its possibility to
Externí odkaz:
https://doaj.org/article/20d21e8add2f430abfe71b32a049ddef