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1 Ergebnisse
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Deep learning techniques for in-core perturbation identific..:
Antonios Papaoikonomou
;
James Wingate
;
Vasudha Verma
...
info:eu-repo/grantAgreement/EC/H2020/754316/. , 2022
Link:
https://zenodo.org/record/7016435
RT Journal T1
Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements
UL https://suche.suub.uni-bremen.de/peid=base-ftzenodo:oai:zenodo.org:7016435&Exemplar=1&LAN=DE A1 Antonios Papaoikonomou A1 James Wingate A1 Vasudha Verma A1 Aiden Durrant A1 George Ioannou A1 Tasos Papagiannis A1 Miao Yu A1 Georgios Alexandridis A1 Abdelhamid Dokhane A1 Georgios Leontidis A1 Stefanos Kollias A1 Andreas Stafylopatis YR 2022 K1 Convolutional neural networksRecurrent neural networksDeep learningPerturbation identificationPerturbation localizationSIMULATE-3KSelf-supervised domain adaptation JF info:eu-repo/grantAgreement/EC/H2020/754316/ LK http://dx.doi.org/https://zenodo.org/record/7016435 DO https://zenodo.org/record/7016435 SF ELIB - SuUB Bremen
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