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Real-time tomographic reconstructor based on convolutional neural networks for solar observation

dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorOrdóñez Galán, Celestino 
dc.contributor.authorRoca Pardiñas, Javier
dc.contributor.authorCos Juez, Francisco Javier de 
dc.date.accessioned2020-06-26T07:57:25Z
dc.date.available2020-06-26T07:57:25Z
dc.date.issued2019
dc.identifier.citationMathematical Methods in the Applied Sciences (2019); doi:10.1002/mma.5948
dc.identifier.issn0170-4214
dc.identifier.urihttp://hdl.handle.net/10651/55376
dc.description.sponsorshipThis research was funded by Ministerio de Economia Industria y Competitividad, grant number MINECO-18-AYA2017-89121-P.
dc.language.isoeng
dc.relation.ispartofMathematical Methods in the Applied Sciences
dc.rights© 2019 John Wiley & Sons, Ltd.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076782318&doi=10.1002%2fmma.5948&partnerID=40&md5=b6b97806ea47ab34a8d07074034f359d
dc.titleReal-time tomographic reconstructor based on convolutional neural networks for solar observation
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/mma.5948
dc.type.dcmitext
dc.description.embargo2020-12-17
dc.relation.projectIDMINECO-18-AYA2017-89121-P
dc.relation.publisherversionhttp://dx.doi.org/10.1002/mma.5948
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess


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