A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks Chen, Lingqiang, Li, Guanghui and Huang, Guangyan 2021, A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks, Information sciences, vol. 553, pp. 49-65, doi: 10.1016/j.ins.2020.12.011. Attached Files Name Description MIMEType Size Downloads Title A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks Author(s) Chen, Lingqiang Li, Guanghui Huang, Guangyan orcid.org/0000-0002-1821-8644 Journal name Information sciences Volume number 553 Start page 49 End page 65 Total pages 17 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2021-04 ISSN 0020-0255 Keyword(s) Wireless sensor networks Data faults/anomalies Hypergrid Lazy learning Continuous learning Language eng DOI 10.1016/j.ins.2020.12.011 Indigenous content off Field of Research 01 Mathematical Sciences 08 Information and Computing Sciences 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30146949 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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. Versions Version Filter Type Wed, 13 Jan 2021, 07:58:18 EST Wed, 13 Jan 2021, 13:12:02 EST Wed, 13 Jan 2021, 13:30:14 EST Mon, 01 Mar 2021, 09:19:30 EST Mon, 01 Mar 2021, 09:20:38 EST Mon, 01 Mar 2021, 11:49:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 11 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 13 Jan 2021, 07:58:18 EST

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