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Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach

dc.contributor.authorAbbas, Ziaul Haq
dc.contributor.authorAli, Zaiwar
dc.contributor.authorAbbas, Ghulam
dc.contributor.authorLei, Jiao
dc.contributor.authorBilal, Muhammad
dc.contributor.authorSuh, Doug-Young
dc.contributor.authorPiran, Md Jalil
dc.date.accessioned2021-11-03T11:37:47Z
dc.date.available2021-11-03T11:37:47Z
dc.date.created2021-09-23T12:20:51Z
dc.date.issued2021
dc.identifier.citationAbbas, Z. H., Ali, Z., Abbas, G., Lei, J., Bilal, M., Suh, D.- Y. & Piran, M. J. (2021). Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach. Sensors, 21 (10), Artikkel 3523.en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11250/2827566
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComputational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Elektrotekniske fag: 540en_US
dc.source.volume21en_US
dc.source.journalSensorsen_US
dc.source.issue10en_US
dc.identifier.doihttps://doi.org/10.3390/s21103523
dc.identifier.cristin1937589
dc.relation.projectMSIT, Korea: IITP-2021-2015-0-00742en_US
dc.source.articlenumber3523en_US
cristin.qualitycode1


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