A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing Nasser, N, Emad-ul-Haq, Q, Imran, M, Ali, A, Razzak, Imran and Al-Helali, A 2022, A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing, Neural Computing and Applications, pp. 1-15, doi: 10.1007/s00521-021-06396-7. Attached Files Name Description MIMEType Size Downloads Title A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing Author(s) Nasser, N Emad-ul-Haq, Q Imran, M Ali, A Razzak, Imran orcid.org/0000-0002-3930-6600 Al-Helali, A Journal name Neural Computing and Applications Start page 1 End page 15 Total pages 15 Publisher Springer Place of publication Berlin, Germany Publication date 2022 ISSN 0941-0643 1433-3058 Keyword(s) Coronavirus Internet of things Cloud computing Detection Machine learning Deep learning Language eng DOI 10.1007/s00521-021-06396-7 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30156734 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   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. 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 Fri, 08 Oct 2021, 11:43:26 EST Fri, 08 Oct 2021, 15:20:38 EST Wed, 19 Jan 2022, 15:46:52 EST Thu, 20 Jan 2022, 05:02:42 EST Mon, 21 Mar 2022, 14:15:04 EST Mon, 21 Mar 2022, 15:52:46 EST Tue, 22 Mar 2022, 08:12:57 EST Tue, 22 Mar 2022, 09:16:49 EST Thu, 07 Apr 2022, 22:35:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 22 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 19 Jan 2022, 15:46:52 EST