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

dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Ordóñez Galán, Celestino
dc.contributor.author	Roca Pardiñas, Javier
dc.contributor.author	Cos Juez, Francisco Javier de
dc.date.accessioned	2020-06-26T07:57:25Z
dc.date.available	2020-06-26T07:57:25Z
dc.date.issued	2019
dc.identifier.citation	Mathematical Methods in the Applied Sciences, 43(14), p. 8032-8041 (2019); doi:10.1002/mma.5948
dc.identifier.issn	0170-4214
dc.identifier.uri	http://hdl.handle.net/10651/55376
dc.description.sponsorship	This research was funded by Ministerio de Economia Industria y Competitividad, grant number MINECO-18-AYA2017-89121-P.
dc.format.extent	p. 8032-8041
dc.language.iso	eng
dc.relation.ispartof	Mathematical Methods in the Applied Sciences
dc.rights	© 2019 John Wiley & Sons, Ltd.
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076782318&doi=10.1002%2fmma.5948&partnerID=40&md5=b6b97806ea47ab34a8d07074034f359d
dc.title	Real-time tomographic reconstructor based on convolutional neural networks for solar observation
dc.type	journal article
dc.identifier.doi	10.1002/mma.5948
dc.relation.projectID	MINECO-18-AYA2017-89121-P
dc.relation.publisherversion	http://dx.doi.org/10.1002/mma.5948
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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