中文版 | English
Title

Exploiting the Self-Attention Mechanism in Gas Sensor Array (GSA) Data With Neural Networks

Author
Publication Years
2023-03-15
DOI
Source Title
ISSN
2379-9153
Volume23Issue:6Pages:5988-5996
Keywords
URL[Source Record]
SUSTech Authorship
First
ESI Research Field
ENGINEERING
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10035929
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/519605
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
First Author AffilicationDepartment of Electrical and Electronic Engineering
First Author's First AffilicationDepartment of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
Ningning Wang,Silong Li,Terry Tao Ye. Exploiting the Self-Attention Mechanism in Gas Sensor Array (GSA) Data With Neural Networks[J]. IEEE Sensors Journal,2023,23(6):5988-5996.
APA
Ningning Wang,Silong Li,&Terry Tao Ye.(2023).Exploiting the Self-Attention Mechanism in Gas Sensor Array (GSA) Data With Neural Networks.IEEE Sensors Journal,23(6),5988-5996.
MLA
Ningning Wang,et al."Exploiting the Self-Attention Mechanism in Gas Sensor Array (GSA) Data With Neural Networks".IEEE Sensors Journal 23.6(2023):5988-5996.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Ningning Wang]'s Articles
[Silong Li]'s Articles
[Terry Tao Ye]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Ningning Wang]'s Articles
[Silong Li]'s Articles
[Terry Tao Ye]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ningning Wang]'s Articles
[Silong Li]'s Articles
[Terry Tao Ye]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.