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Performance/resources comparison of hardware implementations on fully connected network inference

dc.contributor.authorLozada, R.
dc.contributor.authorRuiz, J.
dc.contributor.authorGonzález, M. L.
dc.contributor.authorSedano, J.
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorGarcía Vico, Á. M.
dc.contributor.authorSkibinsky Gitlin, E. S.
dc.date.accessioned2023-05-18T08:22:02Z
dc.date.available2023-05-18T08:22:02Z
dc.date.issued2022
dc.identifier.citationLozada, R., Ruiz, J., González, M. L., Sedano, J., Villar Flecha, J. R., García Vico, A. M., Skibinsky Gitlin, E. S. (2022). Performance/resources comparison of hardware implementations on fully connected network inference. En: H. Yin, D. Camacho, P. Tino (eds.). Intelligent data engineering and automated learning – IDEAL 2022 (pp. 348-358). Cham : Springer
dc.identifier.isbn9783031217524
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/68163
dc.descriptionIntelligent Data Engineering and Automated Learning – IDEAL 2022 (23rd. 2022. Manchester)
dc.description.sponsorshipThis work has been founded by the following institutions: the Ministry of Science and Innovation under CERVERA Excellence Network project CER-20211003 (IBERUS), Missions Science and Innovation project MIG-20211008 (INMERBOT), European Union’s Horizon 2020 research and innovation programme (project DIH4CPS) under the Grant Agreement no 872548, CDTI (Centro para el Desarrollo Tecnológico Industrial) under projects CER-20211022, ICE (Junta de Castilla y León) under project CCTT3/20/BU/0002, the Spanish Ministry of Economics and Industry under the grant PID2020-112726RB-I00, the Principado de Asturias under the grant SV-PA-21-AYUD/2021/50994 and the Regional Government of Andalusia, program “Personal Investigador Doctor”, reference DOC_00235.
dc.format.extentp. 348-358
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofseriesLecture Notes in Computer Science book series (LNCS); v. 13756
dc.rights© 2022 The author(s), under exclusive license to Springer Nature Switzerland AG
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85144826188&doi=10.1007%2f978-3-031-21753-1_34&partnerID=40&md5=8c9d5a76485eb94cc313a5f006f44a5d
dc.titlePerformance/resources comparison of hardware implementations on fully connected network inference
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-031-21753-1_34
dc.relation.projectIDMCIN/CER-20211003
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/872548
dc.relation.projectIDMINECO/PID2020-112726RB-I00
dc.relation.projectIDSV-PA-21-AYUD/2021/50994
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-21753-1_34
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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