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Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/18400
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dc.contributor.authorJack, K.E.-
dc.contributor.authorMustapha, A.A.-
dc.contributor.authorAdeniyi, S.-
dc.contributor.authorObichere, J. C.-
dc.contributor.authorUdofia, O.T.-
dc.contributor.authorInyang, A.B.-
dc.date.accessioned2023-04-25T08:55:54Z-
dc.date.available2023-04-25T08:55:54Z-
dc.date.issued2023-04-01-
dc.identifier.citationK.E.Jack, A.A.Mustapha, .Adeniyi, J. C. Obichere, O.T. Udofia and A.B. Inyang (2023). Artificial Intelligence-Enabled Multi-Function Activity Monitoring and Reporting System. International Journal of Mechatronics, Electrical and Computer Technology (IJMEC) Austria, Vol. 13(48), April. 2023, pp.5371-5385.en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/18400-
dc.language.isoenen_US
dc.publisherInternational Journal of Mechatronics, Electrical and Computer Technology (IJMEC) Austriaen_US
dc.titleArtificial Intelligence-Enabled Multi-Function Activity Monitoring and Reporting Systemen_US
dc.typeArticleen_US
Appears in Collections:Mechatronics Engineering

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