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Neutron Noise-based Anomaly Classification and Localization using Machine Learning

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dc.contributor.authorDemaziere, Christophe
dc.contributor.authorMylonakis, Antonios
dc.contributor.authorVinai, Paolo
dc.contributor.authorDurrant, Aiden
dc.contributor.authorRibeiro, Fabio De Sousa
dc.contributor.authorWingate, James
dc.contributor.authorLeontidis, Georgios
dc.contributor.authorKollias, Stefanos
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2021-04-01T19:18:01Z
dc.date.available2021-04-01T19:18:01Z
dc.date.issued2021-02-22
dc.descriptionThe research conducted was made possible through funding from the Euratom research and training programme 2014-2018 under grant agreement No 754316 (CORTEX project).en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent166112
dc.identifier158824256
dc.identifier80eabe6d-0616-4d1e-b053-e7e05216948d
dc.identifier85108449290
dc.identifier.citationDemaziere, C, Mylonakis, A, Vinai, P, Durrant, A, Ribeiro, F D S, Wingate, J, Leontidis, G & Kollias, S 2021, 'Neutron Noise-based Anomaly Classification and Localization using Machine Learning', Paper presented at International Conference on Physics of Reactors, Cambridge, United Kingdom, 30/03/20 - 2/04/20 pp. 1-9. https://doi.org/10.1051/epjconf/202124721004en
dc.identifier.citationconferenceen
dc.identifier.doi10.1051/epjconf/202124721004
dc.identifier.otherORCID: /0000-0001-6671-5568/work/91891223
dc.identifier.otherORCID: /0000-0002-8375-4523/work/148505713
dc.identifier.urihttps://hdl.handle.net/2164/16173
dc.identifier.urlhttps://www.physor2020.com/proceedingsen
dc.language.isoeng
dc.relation.ispartofen
dc.subjectneutron noiseen
dc.subjectmachine learningen
dc.subjectcore diagnosticsen
dc.subjectcore monitoringen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectOtheren
dc.subjectCORTEXen
dc.subject.lccQA75en
dc.titleNeutron Noise-based Anomaly Classification and Localization using Machine Learningen
dc.typeConference paperen

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