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Autonomous monitoring framework for resource-constrained environments

dc.contributor.authorNazir, Sajid
dc.contributor.authorHamdoun, H
dc.contributor.authorVerdicchio, Fabio
dc.contributor.authorFairhurst, Gorry
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2021-11-12T15:17:01Z
dc.date.available2021-11-12T15:17:01Z
dc.date.issued2018
dc.descriptionAcknowledgments The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub, reference: EP/G066051/1. URL: http://www.dotrural.ac.uk/RemoteStream/en
dc.description.statusPeer revieweden
dc.format.extent19
dc.format.extent2531985
dc.identifier48751129
dc.identifier96535a6a-cd9e-4f26-886d-1cce812528d9
dc.identifier85062652789
dc.identifier.citationNazir, S, Hamdoun, H, Verdicchio, F & Fairhurst, G 2018, 'Autonomous monitoring framework for resource-constrained environments', Cyber-Physical Systems, vol. 4, no. 3, pp. 137-155. https://doi.org/10.1080/23335777.2018.1499673en
dc.identifier.doi10.1080/23335777.2018.1499673
dc.identifier.iss3en
dc.identifier.issn2333-5785
dc.identifier.urihttps://hdl.handle.net/2164/17485
dc.identifier.urlhttps://www.tandfonline.com/doi/pdf/10.1080/23335777.2018.1499673en
dc.identifier.vol4en
dc.language.isoeng
dc.relation.ispartofCyber-Physical Systemsen
dc.subjectembedded sensorsen
dc.subjectremote monitoringen
dc.subjectadaptive processingen
dc.subjectpower managementen
dc.subjectevent detectionen
dc.subjectalgorithmen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/G066051/1en
dc.subject.lccTAen
dc.titleAutonomous monitoring framework for resource-constrained environmentsen
dc.typeJournal articleen

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