1. FUTMinna Institutional Repository
  2. Journal Articles
  3. SCHOOL OF ELECTRICAL AND ENGINEERING TECHNOLOGY (SEET)
  4. Mechatronics Engineering
Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18400
Full metadata record
DC FieldValueLanguage
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

Files in This Item:
File Description SizeFormat 
Vol13_Iss48_5371-5385_Artificial_Intelligence-Enabled_Mul.pdf682.99 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.