Exploiting temporal dependency of RSS data with deep learning for IoT‐oriented wireless indoor localization

Ye, Q

Fan, X

Fang, G

Bie, H

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The embargo period expires on 17 Mar 2023

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Field	Value	Language
dc.contributor.author	Ye, Q https://orcid.org/0000-0001-9843-527X
dc.contributor.author	Fan, X https://orcid.org/0000-0001-8945-3046
dc.contributor.author	Fang, G https://orcid.org/0000-0003-0845-6718
dc.contributor.author	Bie, H
dc.date.accessioned	2023-01-17T03:59:20Z
dc.date.available	2023-01-17T03:59:20Z
dc.date.issued	2022-03-27
dc.identifier.citation	Internet Technology Letters, 2022
dc.identifier.issn	2476-1508
dc.identifier.issn	2476-1508
dc.identifier.uri	http://hdl.handle.net/10453/165060
dc.language	en
dc.publisher	Wiley
dc.relation.ispartof	Internet Technology Letters
dc.relation.isbasedon	10.1002/itl2.366
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Exploiting temporal dependency of RSS data with deep learning for IoT‐oriented wireless indoor localization
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-03-17T00:00:00+1000Z
dc.date.updated	2023-01-17T03:59:19Z
pubs.publication-status	Published online

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