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      Machine learning for analysis of real nuclear plant data in the frequency domain

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      Kollias_etal_ANE_Machine_Learning_for_VOR.pdf (3.226Mb)
      Publication date
      01/07/2022
      Author
      Kollias, Stefanos
      Yu, Miao
      Wingate, James
      Durrant, Aiden Mark
      Leontidis, Georgios
      Alexandridis, Georgios
      Stafylopatis, Andreas
      Mylonakis, Antonios
      Vinai, Paolo
      Demaziere, Christophe
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      Citation
      Kollias , S , Yu , M , Wingate , J , Durrant , A M , Leontidis , G , Alexandridis , G , Stafylopatis , A , Mylonakis , A , Vinai , P & Demaziere , C 2022 , ' Machine learning for analysis of real nuclear plant data in the frequency domain ' , Annals of Nuclear Energy , vol. 177 , 109293 . https://doi.org/10.1016/j.anucene.2022.109293
      URI
      https://hdl.handle.net/2164/18771
      DOI
      https://doi.org/10.1016/j.anucene.2022.109293
      Rights
      This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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