Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
dc.contributor.author | Zgheib, Rita | |
dc.contributor.author | Chahbandarian, Ghazar | |
dc.contributor.author | Kamalov, Firuz | |
dc.contributor.author | Messiry, Haythem El | |
dc.contributor.author | Al-Gindy, Ahmed | |
dc.date.accessioned | 2023-03-22T09:07:29Z | |
dc.date.available | 2023-03-22T09:07:29Z | |
dc.date.issued | 2023-04-01 | |
dc.identifier.citation | Zgheib, R., Chahbandarian, G., Kamalov, F., Messiry, H. E., & Al-Gindy, A. (2023). Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. Neurocomputing, 528, 160-177. https://doi.org/10.1016/j.neucom.2023.01.007 | |
dc.identifier.uri | https://doi.org/10.1016/j.neucom.2023.01.007 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12519/791 | |
dc.publisher | Elsevier B.V. | |
dc.title | Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19 | |
dc.type | Article |
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