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Learning automata based energy-efficient AI hardware design for IoT applications: Learning Automata based AI Hardware

dc.contributor.authorWheeldon, Adrian
dc.contributor.authorShafik, Rishad
dc.contributor.authorRahman, Tousif
dc.contributor.authorLei, Jie
dc.contributor.authorYakovlev, Alex
dc.contributor.authorGranmo, Ole-Christoffer
dc.date.accessioned2020-12-01T13:25:33Z
dc.date.available2020-12-01T13:25:33Z
dc.date.created2020-11-23T12:16:05Z
dc.date.issued2020
dc.identifier.citationWheeldon, A., Shafik, R., Rahman, T., Lei, J., Yakovlev, A. & Granmo, O - C. (2020). Learning automata based energy-efficient AI hardware design for IoT applications: Learning Automata based AI Hardware. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378 (2182). doi:en_US
dc.identifier.issn1471-2962
dc.identifier.urihttps://hdl.handle.net/11250/2711218
dc.language.isoengen_US
dc.publisherRoyal Society Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLearning automata based energy-efficient AI hardware design for IoT applications: Learning Automata based AI Hardwareen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.volume378en_US
dc.source.journalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciencesen_US
dc.source.issue2182en_US
dc.identifier.doi10.1098/rsta.2019.0593
dc.identifier.cristin1850992
cristin.qualitycode1


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