Network traffic prediction based on deep belief network and spatiotemporal compressive sensing in wireless mesh backbone networks Nie, Laisen, Wang, Xiaojie, Wan, Liangtian, Yu, Shui, Song, Houbing and Jiang, Dingde 2018, Network traffic prediction based on deep belief network and spatiotemporal compressive sensing in wireless mesh backbone networks, Wireless communications and mobile computing, vol. 2018, pp. 1-10, doi: 10.1155/2018/1260860. Attached Files Name Description MIMEType Size Downloads yu-networktraffic-2018.pdf Published version application/pdf 1.79MB 41 Title Network traffic prediction based on deep belief network and spatiotemporal compressive sensing in wireless mesh backbone networks Author(s) Nie, Laisen Wang, Xiaojie Wan, Liangtian Yu, Shui orcid.org/0000-0003-4485-6743 Song, Houbing Jiang, Dingde Journal name Wireless communications and mobile computing Volume number 2018 Article ID 1260860 Start page 1 End page 10 Total pages 10 Publisher Hindawi Publishing Corporation Place of publication Cairo, Egypt Publication date 2018 ISSN 1530-8669 1530-8677 Keyword(s) science & technology technology computer science, information systems engineering, electrical & electronic telecommunications computer science engineering Language eng DOI 10.1155/2018/1260860 Field of Research 0805 Distributed Computing 0906 Electrical And Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2018, Laisen Nie et al. Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30106150 Document type: Journal Article Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (open access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 06 Feb 2018, 15:25:57 EST Wed, 07 Feb 2018, 04:00:42 EST Wed, 07 Feb 2018, 06:49:22 EST Tue, 27 Mar 2018, 05:03:12 EST Tue, 27 Mar 2018, 10:56:51 EST Tue, 27 Mar 2018, 10:59:14 EST Tue, 27 Mar 2018, 10:59:54 EST Wed, 28 Mar 2018, 08:10:22 EST Sat, 05 May 2018, 02:32:37 EST Fri, 07 Sep 2018, 18:24:38 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 50 Abstract Views, 43 File Downloads  -  Detailed Statistics Created: Tue, 06 Feb 2018, 15:25:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.