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Wei, Senhui
9
results:
Search for persons
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Format
Online (9)
Mediatypes
Articles (Online) (4)
Bookchapter (Online) (1)
OpenAccess-fulltext (4)
Sorted by: Relevance
Sorted by: Year
?
1
Robust Clustered Federated Learning:
, In:
Database Systems for Advanced Applications; Lecture Notes in Computer Science
,
Ye, Tiandi
;
Wei, Senhui
;
Cui, Jamie
... - p. 677-692 , 2023
Link:
https://doi.org/10.1007/..
?
2
Effects of different nano-agglomerated powders on the micro..:
Shi, Jia
;
Liu, Sen-Hui
;
Wei, Liang-Liang
...
Ceramics International. 49 (2023) 2 - p. 2157-2166 , 2023
Link:
https://doi.org/10.1016/..
?
3
EEG-Based Emotion Classification Using a Deep Neural Networ..:
Liu, Junxiu
;
Wu, Guopei
;
Luo, Yuling
...
Frontiers in Systems Neuroscience. 14 (2020) - p. , 2020
Link:
https://doi.org/10.3389/..
?
4
Baduanjin Exercise for Type 2 Diabetes Mellitus: A Systemat..:
Wen, Junmao
;
Lin, Tong
;
Cai, Yinhe
...
Evidence-Based Complementary and Alternative Medicine. 2017 (2017) - p. 1-14 , 2017
Link:
https://doi.org/10.1155/..
?
5
Interface reaction in ultrasonic vibration-assisted brazing..:
Yu, Wei-yuan
;
Liu, Sen-hui
;
Liu, Xin-ya
..
Journal of Materials Processing Technology. 221 (2015) - p. 285-290 , 2015
Link:
https://doi.org/10.1016/..
?
6
EEG-Based Emotion Classification Using a Deep Neural Networ..:
Liu, Junxiu
;
Wu, Guopei
;
Luo, Yuling
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492909/. , 2020
Link:
http://www.ncbi.nlm.nih...
?
7
EEG-based emotion classification using a deep neural networ..:
Liu, Junxiu
;
Wu, Guopei
;
Luo, Yuling
...
http://repository.uwl.ac.uk/id/eprint/7922/1/fnsys-14-00043.pdf. , 2020
Link:
http://repository.uwl.ac..
?
8
EEG-Based Emotion Classification Using a Deep Neural Networ..:
Junxiu Liu
;
Guopei Wu
;
Yuling Luo
...
https://www.frontiersin.org/article/10.3389/fnsys.2020.00043/full. , 2020
Link:
https://doi.org/10.3389/..
?
9
Baduanjin Exercise for Type 2 Diabetes Mellitus: A Systemat..:
Junmao Wen
;
Tong Lin
;
Yinhe Cai
...
http://dx.doi.org/10.1155/2017/8378219. , 2017
Link:
https://doi.org/10.1155/..
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