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Cochleogram-based adventitious sounds classification using convolutional neural networks

dc.contributor.authorMang, L. D.
dc.contributor.authorCanadas Quesada, F. J.
dc.contributor.authorCarabias Ortí, J. J.
dc.contributor.authorFernández-Combarro Álvarez, Elías 
dc.contributor.authorRanilla Pastor, José 
dc.date.accessioned2023-05-18T08:19:49Z
dc.date.available2023-05-18T08:19:49Z
dc.date.issued2023
dc.identifier.citationBiomedical Signal Processing and Control, 82 (2023); doi:10.1016/j.bspc.2022.104555
dc.identifier.issn1746-8094
dc.identifier.urihttp://hdl.handle.net/10651/67847
dc.description.sponsorshipThis work was supported in part under grant PID2020-119082RB-C21,C22 funded MCIN/AEI/10.13039/501100011033, grant 1257914 funded by Programa Operativo FEDER Andalucia 2014–2020, grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University, Junta de Andalucía, Spain, grant AYUD/2021/50994 funded by Gobierno del Principado de Asturias, Spain and QUANTUM SPAIN project funded by the Ministry of Economic Affairs and Digital Transformation of the Spanish Government and the European Union through the Recovery, Transformation and Resilience Plan - NextGenerationEU.
dc.language.isoeng
dc.relation.ispartofBiomedical Signal Processing and Control
dc.rights© 2022 The Author(s).
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85145977162&doi=10.1016%2fj.bspc.2022.104555&partnerID=40&md5=6206d302c136d80ac0f55ea69fbc56d7
dc.titleCochleogram-based adventitious sounds classification using convolutional neural networks
dc.typejournal article
dc.identifier.doi10.1016/j.bspc.2022.104555
dc.relation.projectIDMCIN/AEI/PID2020-119082RB-C21, C22
dc.relation.projectIDMINECO/ P18-RT-199
dc.relation.projectIDAYUD/2021/50994
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.bspc.2022.104555
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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