Zobrazeno 1 - 10
of 697
pro vyhledávání: '"Generative adversarial nets"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract RNA methylation modification influences various processes in the human body and has gained increasing attention from scholars. Predicting genes associated with RNA methylation pathways can significantly aid biologists in studying RNA methyla
Externí odkaz:
https://doaj.org/article/b33ca71c93d74ab9ade5172d1b73366d
Publikováno v:
Leida xuebao, Vol 13, Iss 4, Pp 807-821 (2024)
This paper addresses the problem of high-resolution imaging of shadowed multiple-targets with limited labeled data, by proposing a transfer-learning-based method for through-the-wall radar imaging. First, a generative adversarial sub-network is devel
Externí odkaz:
https://doaj.org/article/2923ca0992504a12a86c402dcd787492
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 743-750 (2024)
Purposes In order to predict the traffic of 5G base stations more accurately and analyze the tidal phenomenon, a traffic prediction method of GAN model with differential algorithm is proposed to improve the gray wolf optimized LSTM. And the modified
Externí odkaz:
https://doaj.org/article/e9e7bb0e0f784e29ab42f57c756bdd2d
Autor:
Xianan Li, Lecheng Jia, Fengyu Lin, Fan Chai, Tao Liu, Wei Zhang, Ziquan Wei, Weiqi Xiong, Hua Li, Min Zhang, Yi Wang
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background and purpose To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in multi-center datasets using generative adversarial networks (GANs) for rectal cancer MR-only radioth
Externí odkaz:
https://doaj.org/article/3c101e5cea6d487c892307191bb8883e
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6231-6248 (2024)
Abstract Upper limb prostheses are commonly propelled by pneumatic artificial muscles organized in an antagonistic arrangement. Nonetheless, the control of upper limb prostheses under changing/unknown situations is difficult and necessary for a varie
Externí odkaz:
https://doaj.org/article/9acb728b98124be0ad48b986f5c9916c
Publikováno v:
IEEE Access, Vol 12, Pp 67860-67879 (2024)
To solve the problem that the existing intrusion traffic detection models generally adopt machine learning algorithm and supervised deep learning algorithm, and the classification accuracy of model small samples is low, A unsupervised learning intrus
Externí odkaz:
https://doaj.org/article/9b7d533e15434b6194b241416cd29c3a
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1492-1506 (2023)
Abstract Multi‐modal brain image registration has been widely applied to functional localisation, neurosurgery and computational anatomy. The existing registration methods based on the dense deformation fields involve too many parameters, which is
Externí odkaz:
https://doaj.org/article/1b6c530f0a9f4aa6b3dcc8a0a78cce03
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 4, Pp 410-422 (2023)
The local specific absorption rate (SAR) is an essential metric when assessing the safety of high-field magnetic resonance imaging (MRI). Usually, the subject-specific model is created from segmented magnetic resonance (MR) images, followed by SAR es
Externí odkaz:
https://doaj.org/article/fad134ec6f19418891a6375bd4404d87
Autor:
ZHANG Liya
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 11, Pp 53-59 (2023)
The images of coal mine underground belt transportation have the features of low illumination, unclear details, and background interference. The existing foreign object detection models for belt conveyors have problems such as low precision, poor fle
Externí odkaz:
https://doaj.org/article/1fd657539bb84819b8f6ee7534bd0f9d
Autor:
Derong Yi, Mingfeng Yu, Qiang Wang, Hao Tian, Leibao Wang, Yongqian Yan, Chenghuang Wu, Bo Hu, Chunyan Li
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9163 (2024)
In recent years, extreme events have frequently occurred, and the extreme uncertainty of the source-demand side of high-ratio renewable energy systems poses a great challenge to the safe operation of power systems. Accurately generating extreme scena
Externí odkaz:
https://doaj.org/article/8d5fdce1109d4ce4ab2d8dfec5c7795b