Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Shu Yue, Dong"'
Autor:
Hai Peng Wang, Yu Xuan Zhou, He Li, Guo Dong Liu, Si Meng Yin, Peng Ju Li, Shu Yue Dong, Chao Yue Gong, Shi Yu Wang, Yun Bo Li, Tie Jun Cui
Publikováno v:
Advanced Science, Vol 9, Iss 20, Pp n/a-n/a (2022)
Abstract With the development of artificial intelligence and Internet of Things, hand gesture recognition techniques have attracted great attention owing to their excellent applications in developing human‐machine interaction (HMI). Here, the autho
Externí odkaz:
https://doaj.org/article/642b77da120842188b9a09e0ec97cf73
Publikováno v:
IEEE Access, Vol 8, Pp 212541-212547 (2020)
In this paper, we proposed a fast and accurately calculated method to estimate the deviation of wideband angular glint based on single frequency or narrow band modeling method of the angular glint. By analyzing the three existing methods of modeling
Externí odkaz:
https://doaj.org/article/7a48fef74d0745efb468c0bfe12452e0
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 9, Pp n/a-n/a (2020)
Metasurfaces have been developed as a promising approach for manipulating electromagnetic waves. Recently, deep learning algorithms have been introduced to design metasurfaces, but the network can only output one solution for each desired input and s
Externí odkaz:
https://doaj.org/article/f506904424de4aa8b2439196428c3de7
Publikováno v:
IEEE Transactions on Antennas and Propagation. 70:8086-8099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b780f3ffb3adb81ddf783cf6a42b0277
https://doi.org/10.1109/tap.2022.3168278
https://doi.org/10.1109/tap.2022.3168278
Intelligent metasurface with frequency recognition for adaptive manipulation of electromagnetic wave
Autor:
Hai Peng Wang, Yun Bo Li, He Li, Jia Lin Shen, Shu Yue Dong, Shi Yu Wang, Kai Nan Qi, Qian Ma, Shi Jin, Si Jia Li, Tie Jun Cui
Publikováno v:
Nanophotonics. 11:1401-1411
Due to the strong ability of recognizing electromagnetic (EM) environment and adaptively control of EM waves, the intelligent metasurfaces have received great attention recently. However, the intelligent metasurface with frequency recognition for ada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb17bc2d818969b0c5bd2139f79fd910
https://doi.org/10.1515/nanoph-2021-0799
https://doi.org/10.1515/nanoph-2021-0799
Publikováno v:
2022 International Applied Computational Electromagnetics Society Symposium (ACES-China).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe4f8ae626bf1718512146a9bc24b79
https://doi.org/10.1109/aces-china56081.2022.10064818
https://doi.org/10.1109/aces-china56081.2022.10064818
Publikováno v:
IEEE Access, Vol 8, Pp 212541-212547 (2020)
In this paper, we proposed a fast and accurately calculated method to estimate the deviation of wideband angular glint based on single frequency or narrow band modeling method of the angular glint. By analyzing the three existing methods of modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d61370b2ce28d90007fa30ab4eabc471
https://doi.org/10.1109/access.2020.3040436
https://doi.org/10.1109/access.2020.3040436
Autor:
Chun Hong, Zhang, Shu Yue, Dong, Dan, Li, Jun, Liu, Wei Chang, Mao, Yi Qun, Fang, Tie Hua, Zhang
Publikováno v:
Biomedical and environmental sciences : BES. 35(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::439ce22eb0e223940d43d160dcc399eb
https://pubmed.ncbi.nlm.nih.gov/35882413
https://pubmed.ncbi.nlm.nih.gov/35882413
Autor:
Yun Bo Li, Shi Yu Wang, Hai Peng Wang, He Li, Tie Jun Cui, Gang Chen, Jia Lin Shen, Shu Yue Dong, Chao Yue Gong
Publikováno v:
Advanced Materials Technologies. 7:2101067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0f7cb0118439db1d6489ef3aca6ad65
https://doi.org/10.1002/admt.202101067
https://doi.org/10.1002/admt.202101067
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 9, Pp n/a-n/a (2020)
Metasurfaces have been developed as a promising approach for manipulating electromagnetic waves. Recently, deep learning algorithms have been introduced to design metasurfaces, but the network can only output one solution for each desired input and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79c11f4774027cac7486dfa335ba1610
https://doi.org/10.1002/aisy.202000068
https://doi.org/10.1002/aisy.202000068