Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jianxiong PAN"'
Publikováno v:
Journal of Isotopes, Vol 37, Iss 3, Pp 211-217 (2024)
During the numerical optimization process of cascades for multi-component isotopes separation，there are problems such as integer-real optimization and local optimal solution，which makes the optimization of cascades more difficult. Taking the Q ca
Externí odkaz:
https://doaj.org/article/22bbd86f67394e78b53d3b4d6cda5110
Publikováno v:
Journal of Isotopes, Vol 37, Iss 3, Pp 203-210 (2024)
Stable isotopes are currently widely used in medical，biological，agricultural，environmental，industrial manufacturing，scientific research and other fields. There are three isotopes of silicon in nature，namely 28Si，29Si，and 30Si，with n
Externí odkaz:
https://doaj.org/article/3ba92a7930ec4d779308929c162768e4
Publikováno v:
IEEE Access, Vol 12, Pp 15419-15437 (2024)
The densification of low-Earth orbit (LEO) constellations and the development of inter-satellite links enable the cooperative transmission of multiple satellites. This paper investigates a decentralized resource allocation strategy for multi-satellit
Externí odkaz:
https://doaj.org/article/0905f298f62e439bb08545bc11ebcb0c
Publikováno v:
Sensors, Vol 23, Iss 3, p 1495 (2023)
Integrated sensing and communications (ISAC) is emerging as a key technology of 6G. Owing to the low peak-to-average power ratio (PAPR) property, discrete Fourier transform spread orthogonal frequency-division multiplexing (DFT-s-OFDM) is helpful to
Externí odkaz:
https://doaj.org/article/a565740e429044e98842fa1a7144f6e1
Publikováno v:
Sensors, Vol 22, Iss 13, p 4907 (2022)
High frequency wireless communication aims to provide ultra high-speed transmissions for various application scenarios. The waveform design for high frequency communication is challenging due to the requirements for high spectrum efficiency, as well
Externí odkaz:
https://doaj.org/article/cae03f2e454b4471a7987b3d32696685
Autor:
Jianxiong Pan, Neng Ye, Hanxiao Yu, Tao Hong, Saba Al-Rubaye, Shahid Mumtaz, Anwer Al-Dulaimi, I. Chih-Lin
Publikováno v:
IEEE Transactions on Wireless Communications. 21:6033-6047
Non-orthogonal multiple access (NOMA) promises to fulfill the fast-growing connectivities in future Internet of Things (IoT) using abundant multiple-access signatures. While explicitly notifying the utilized NOMA signatures causes large signaling cos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a1f007fa3806dbb5ecb36e3bfecc46c
https://doi.org/10.1109/twc.2022.3145399
https://doi.org/10.1109/twc.2022.3145399
Publikováno v:
IEEE Transactions on Vehicular Technology. 70:2337-2348
Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) with hybrid beamforming enables high data rate broadband services for 5G. To further improve the spectral efficiency and connectivity, non-orthogonal multiple access (NOMA) has been consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37bbc1b6575fb81545616b258b68a3e9
https://doi.org/10.1109/tvt.2021.3057648
https://doi.org/10.1109/tvt.2021.3057648
Publikováno v:
IWCMC
Deep learning has been exploited to tackle the multi-user detection problem of non-orthogonal multiple access (NOMA), for its high detection accuracy and low computational delay. Existing deep learning algorithms adopt an offline training and online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1928606aff783e9013dec825559b6462
https://doi.org/10.1109/iwcmc51323.2021.9498949
https://doi.org/10.1109/iwcmc51323.2021.9498949
Autor:
Chunyan Miao, Shijian Lu, Fangneng Zhan, Kaiwen Cui, Xuansong Xie, Jianxiong Pan, Gongjie Zhang, Feiying Ma, Yingchen Yu, Changgong Zhang
Publikováno v:
CVPR
Despite the great success of GANs in images translation with different conditioned inputs such as semantic segmentation and edge maps, generating high-fidelity realistic images with reference styles remains a grand challenge in conditional image-to-i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eece83c1081de4353763c040ca2e486
https://doi.org/10.1109/cvpr46437.2021.01478
https://doi.org/10.1109/cvpr46437.2021.01478
Autor:
Jianxiong Pan, Xuansong Xie, Fangneng Zhan, Kaiwen Cui, Chunyan Miao, Feiying Ma, Shijian Lu, Yingchen Yu, Rongliang Wu
Publikováno v:
ACM Multimedia
Image inpainting is an underdetermined inverse problem, which naturally allows diverse contents to fill up the missing or corrupted regions realistically. Prevalent approaches using convolutional neural networks (CNNs) can synthesize visually pleasan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f1d271be25721d6dff839df8aa697c6
http://arxiv.org/abs/2104.12335
http://arxiv.org/abs/2104.12335
