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Artificial intelligent system for multimedia services in smart home environments

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Artificial intelligent system for multimedia services in smart home environments

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dc.contributor.author REGO MAÑEZ, ALBERT es_ES
dc.contributor.author Gonzalez Ramirez, Pedro Luis es_ES
dc.contributor.author Jimenez, Jose M. es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2022-09-16T18:04:16Z
dc.date.available 2022-09-16T18:04:16Z
dc.date.issued 2022-06 es_ES
dc.identifier.issn 1386-7857 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186220
dc.description.abstract [EN] Internet of Things (IoT) has introduced new applications and environments. Smart Home provides new ways of communication and service consumption. In addition, Artificial Intelligence (AI) and deep learning have improved different services and tasks by automatizing them. In this field, reinforcement learning (RL) provides an unsupervised way to learn from the environment. In this paper, a new intelligent system based on RL and deep learning is proposed for Smart Home environments to guarantee good levels of QoE, focused on multimedia services. This system is aimed to reduce the impact on user experience when the classifying system achieves a low accuracy. The experiments performed show that the deep learning model proposed achieves better accuracy than the KNN algorithm and that the RL system increases the QoE of the user up to 3.8 on a scale of 10. es_ES
dc.description.sponsorship This work has been partially supported by the "Ministerio de Economia y Competitividad" in the "Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento" within the project under Grant TIN2017-84802-C2-1-P. This work has also been partially founded by the Universitat Polite`cnica de Vale`ncia through the postdoctoral PAID-10-20 program. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Cluster Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Deep learning es_ES
dc.subject Classification es_ES
dc.subject Smart home es_ES
dc.subject Reinforcement learning es_ES
dc.subject Multimedia es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Artificial intelligent system for multimedia services in smart home environments es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10586-021-03350-z es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84802-C2-1-P/ES/RED COGNITIVA DEFINIDA POR SOFTWARE PARA OPTIMIZAR Y SECURIZAR TRAFICO DE INTERNET DE LAS COSAS CON INFORMACION CRITICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Rego Mañez, A.; Gonzalez Ramirez, PL.; Jimenez, JM.; Lloret, J. (2022). Artificial intelligent system for multimedia services in smart home environments. Cluster Computing. 25(3):2085-2105. https://doi.org/10.1007/s10586-021-03350-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10586-021-03350-z es_ES
dc.description.upvformatpinicio 2085 es_ES
dc.description.upvformatpfin 2105 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\458842 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
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