Gaussian data-aided sensing with multichannel random access and model selection Choi, Jinho 2020, Gaussian data-aided sensing with multichannel random access and model selection, IEEE internet of things, vol. 7, no. 3, pp. 2412-2420, doi: 10.1109/JIOT.2019.2957964. Attached Files Name Description MIMEType Size Downloads Title Gaussian data-aided sensing with multichannel random access and model selection Author(s) Choi, Jinho orcid.org/0000-0002-4895-6680 Journal name IEEE internet of things Volume number 7 Issue number 3 Start page 2412 End page 2420 Total pages 9 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2020-03 ISSN 2327-4662 2327-4662 Keyword(s) Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Sensors Covariance matrices Data models Internet of Things Data collection Base stations Indexes Intelligent data collection Internet of Things (IoT) model selection multiarmed bandit Language eng DOI 10.1109/JIOT.2019.2957964 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30135885 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   Connect to Elements publication management system 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, 01 Apr 2020, 08:55:01 EST Thu, 02 Apr 2020, 04:00:14 EST Thu, 02 Apr 2020, 05:03:56 EST Sat, 18 Apr 2020, 02:31:11 EST Thu, 30 Apr 2020, 10:29:57 EST Thu, 30 Apr 2020, 10:31:47 EST Thu, 30 Apr 2020, 10:32:37 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 200 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 01 Apr 2020, 08:55:01 EST