Editorial: deep learning for 5G IoT systems.

Cheng, X; Zhang, C; Qian, Y; Aloqaily, M; Xiao, Y

Editorial: deep learning for 5G IoT systems.

Cheng, X Zhang, C

Qian, Y Aloqaily, M Xiao, Y

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: International journal of machine learning and cybernetics, 2021, 12, (11), pp. 1-3
Issue Date:: 2021-07-19

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Field	Value	Language
dc.contributor.author	Cheng, X
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154
dc.contributor.author	Qian, Y
dc.contributor.author	Aloqaily, M
dc.contributor.author	Xiao, Y
dc.date.accessioned	2021-11-21T20:56:16Z
dc.date.available	2021-11-21T20:56:16Z
dc.date.issued	2021-07-19
dc.identifier.citation	International journal of machine learning and cybernetics, 2021, 12, (11), pp. 1-3
dc.identifier.issn	1868-8071
dc.identifier.issn	1868-808X
dc.identifier.uri	http://hdl.handle.net/10453/151768
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	International journal of machine learning and cybernetics
dc.relation.isbasedon	10.1007/s13042-021-01382-w
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing
dc.title	Editorial: deep learning for 5G IoT systems.
dc.type	Journal Article
utslib.citation.volume	12
utslib.location.activity	Germany
utslib.for	0801 Artificial Intelligence and Image Processing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2021-11-21T20:56:15Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	11

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http://hdl.handle.net/10453/151768