Demaziere, ChristopheMylonakis, AntoniosVinai, PaoloDurrant, AidenRibeiro, Fabio De SousaWingate, JamesLeontidis, GeorgiosKollias, Stefanos2021-04-012021-04-012021-02-22Demaziere, 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/202124721004conferenceORCID: /0000-0001-6671-5568/work/91891223ORCID: /0000-0002-8375-4523/work/148505713https://hdl.handle.net/2164/16173The research conducted was made possible through funding from the Euratom research and training programme 2014-2018 under grant agreement No 754316 (CORTEX project).10166112engneutron noisemachine learningcore diagnosticscore monitoringQA75 Electronic computers. Computer scienceOtherCORTEXQA75Conference paper10.1051/epjconf/202124721004https://www.physor2020.com/proceedings