Analysis of false data detection rate in generative adversarial networks using recurrent neural network

Kumar, AS Tesfaye Jule, L Ramaswamy, K Sountharrajan, S Yuuvaraj, N Gandomi, AH

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Generative Adversarial Networks for Image-to-Image Translation, 2021, pp. 289-312
Issue Date:: 2021

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Field	Value	Language
dc.contributor.author	Kumar, AS
dc.contributor.author	Tesfaye Jule, L
dc.contributor.author	Ramaswamy, K
dc.contributor.author	Sountharrajan, S
dc.contributor.author	Yuuvaraj, N
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2021-07-29T12:39:09Z
dc.date.available	2021-07-29T12:39:09Z
dc.date.issued	2021
dc.identifier.citation	Generative Adversarial Networks for Image-to-Image Translation, 2021, pp. 289-312
dc.identifier.isbn	9780128235195
dc.identifier.uri	http://hdl.handle.net/10453/149992
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Generative Adversarial Networks for Image-to-Image Translation
dc.relation.isbasedon	10.1016/b978-0-12-823519-5.00012-9
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Analysis of false data detection rate in generative adversarial networks using recurrent neural network
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2021-07-29T12:39:08Z
pubs.publication-status	Published

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