Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hengmiao Wu"'
Autor:
Hanting Xiang, Zhebin Dong, Hengmiao Wu, Yicheng He, Zhengwei Chen, Sangsang Chen, Weiming Yu, Chao Liang
Publikováno v:
BMC Gastroenterology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background The D2 procedure has been accepted as the standard treatment for advanced gastric cancer (GC) in East Asia. Determination of the number of lymph nodes (LNs) after gastrectomy may influence the pathological stage assessment of lymp
Externí odkaz:
https://doaj.org/article/9397f1f5eaf94f8eb4377715092282e1
Autor:
Hengmiao Wu, Chao Liang
Publikováno v:
International Journal of General Medicine.
Hengmiao Wu, Chao Liang Department of General Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315000, Peopleâs Republic of ChinaCorrespondence: Chao Liang, Department of General Surgery, the Affiliated Lihuili Hospital, Ning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65fc0d654033f04f5067e4c69647fb6
https://www.dovepress.com/pan-cancer-analysis-of-the-tumorigenic-effect-and-prognostic-diagnosti-peer-reviewed-fulltext-article-IJGM
https://www.dovepress.com/pan-cancer-analysis-of-the-tumorigenic-effect-and-prognostic-diagnosti-peer-reviewed-fulltext-article-IJGM
Autor:
Zhebin Dong, Hanting Xiang, Hengmiao Wu, Zhengwei Chen, Sangsang Chen, Yicheng He, Hong Li, Weiming Yu, Chao Liang
Background: Lymph node (LN) status is vital to indicate and evaluate the curative potential of relatively early gastric cancer (GC; T1–T2) treatment (endoscopic or surgery). Currently, there is a lack of robust and convenient methods to identify su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8fc48baebe51aaeb1f9ab1c3775ff56
https://doi.org/10.21203/rs.3.rs-2618696/v1
https://doi.org/10.21203/rs.3.rs-2618696/v1
Publikováno v:
IEEE Wireless Communications. 27:88-95
Aiming to provide more efficient and robust physical layer security strategies for wireless communications, this article investigates the endogenous security of end-to-end learning of communication by addressing two main security issues of communicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9fbc8502aef0692e8114a3903528e1
https://doi.org/10.1109/mwc.001.2000005
https://doi.org/10.1109/mwc.001.2000005
Publikováno v:
2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Due to the randomness of wireless channels, it is possible to achieve secure communications by designing communication systems according to the characteristics of wireless channels. In this work, a physical layer security communication mechanism base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42dce0d28aade51c21aeac0d44ba25ae
https://doi.org/10.1109/imcec46724.2019.8984189
https://doi.org/10.1109/imcec46724.2019.8984189
Publikováno v:
WCNC Workshops
The performance of traditional deep learning-based signal detection methods have been challenged by real world signal impaired by random noise and interferences through wireless channel, they quite often appeal to a prior filter for interference elim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0f1c2c8843963143f3b1d273fe6a5e8
https://doi.org/10.1109/wcncw.2019.8902893
https://doi.org/10.1109/wcncw.2019.8902893
Publikováno v:
Ad Hoc Networks. 103:102151
Compared to traditional signal enhancement strategies in wireless communication, the emerging route based on deep learning has been showing better potential adaptivity to dynamic effects of noise and interference conditions. In this paper, we design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd63f61dfcca17daa325a927737b9fed
https://doi.org/10.1016/j.adhoc.2020.102151
https://doi.org/10.1016/j.adhoc.2020.102151
Publikováno v:
Journal of Physics: Conference Series. 1169:012060
End-to-end learning-based communications systems are more likely to achieve the global optimal performance. In this work, we implement a complete communications system as an end-to-end deep neural network, including transmitter, channel model, synchr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc1b31686236124e36dcaaa27d8b6a76
https://doi.org/10.1088/1742-6596/1169/1/012060
https://doi.org/10.1088/1742-6596/1169/1/012060
Autor:
Xiang, Hanting1 (AUTHOR), Dong, Zhebin1 (AUTHOR), Wu, Hengmiao1 (AUTHOR), He, Yicheng1 (AUTHOR), Chen, Zhengwei1 (AUTHOR), Chen, Sangsang1 (AUTHOR), Yu, Weiming1 (AUTHOR) yuweiming7601@163.com, Liang, Chao1 (AUTHOR) movingstar-lchao@163.com
Publikováno v:
BMC Gastroenterology. 12/6/2023, Vol. 23 Issue 1, p1-9. 9p.
Publikováno v:
Journal of Physics: Conference Series; 2019, Vol. 1169 Issue 1, p1-1, 1p