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Adaptive optics correction using recurrent neural networks for wavefront prediction

dc.contributor.authorPérez Fernández, Saúl 
dc.contributor.authorBuendía Roca, Alejandro 
dc.contributor.authorGonzález Gutiérrez, Carlos 
dc.contributor.authorRodríguez Rodríguez, Javier 
dc.contributor.authorIglesias Álvarez, Santiago 
dc.contributor.authorAnangonó Tutasig, Ronny
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.date.accessioned2024-02-26T07:38:07Z
dc.date.available2024-02-26T07:38:07Z
dc.date.issued2023
dc.identifier.isbn978-303142535-6
dc.identifier.issn2367-3370
dc.identifier.urihttps://hdl.handle.net/10651/71506
dc.descriptionInternational Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO (18th. 2023. Salamanca, Spain)
dc.format.extentp. 354-363
dc.language.isoeng
dc.relation.ispartof18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023).
dc.relation.ispartofseriesLecture Notes in Networks and Systems; 750
dc.rights© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85172726840&doi=10.1007%2f978-3-031-42536-3_34&partnerID=40&md5=ca2dcb90fa19a799d0a4827c0675bcae
dc.titleAdaptive optics correction using recurrent neural networks for wavefront prediction
dc.typeconference output
dc.identifier.doi10.1007/978-3-031-42536-3_34
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-42536-3_34


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