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Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16658
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dc.contributor.authorMusa, Ndiaye-
dc.contributor.authorOyewobi, S. Stephen-
dc.contributor.authorAdnan, M. AbuMahfouz-
dc.contributor.authorGerhard, P. Hancke-
dc.contributor.authorAM, Kurien-
dc.contributor.authorKarim, Djouani-
dc.date.accessioned2023-01-04T22:32:07Z-
dc.date.available2023-01-04T22:32:07Z-
dc.date.issued2020-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/16658-
dc.language.isoenen_US
dc.publisherIEEE Accessen_US
dc.relation.ispartofseries8;pp. 186821-186839-
dc.subjectArtificial intelligenceen_US
dc.subjectbig dataen_US
dc.subjectCOVID-19en_US
dc.subjectdata sharingen_US
dc.titleIoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolutionen_US
dc.typeArticleen_US
Appears in Collections:Telecommunication Engineering

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