Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

dc.contributor.authorZgheib, Rita
dc.contributor.authorChahbandarian, Ghazar
dc.contributor.authorKamalov, Firuz
dc.contributor.authorMessiry, Haythem El
dc.contributor.authorAl-Gindy, Ahmed
dc.date.accessioned2023-03-22T09:07:29Z
dc.date.available2023-03-22T09:07:29Z
dc.date.issued2023-04-01
dc.identifier.citationZgheib, 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.urihttps://doi.org/10.1016/j.neucom.2023.01.007
dc.identifier.urihttps://hdl.handle.net/20.500.12519/791
dc.publisherElsevier B.V.
dc.titleTowards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Access Instruction 791.pdf
Size:
45 KB
Format:
Adobe Portable Document Format
Description: