GENERATIVE ADVERSARIAL NETWORK AND DIGITAL ART INTERACTIONS WITH METAVERSE MARKETING

dc.contributor.authorNalbant, Kemal Gökhan
dc.contributor.authorAydın, Sevgi
dc.contributor.authorUyanık, Şevval
dc.date.accessioned2025-03-09T10:53:26Z
dc.date.available2025-03-09T10:53:26Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractThe application of machine learning, deep learning, and artificial intelligence is ubiquitous across various domains. The Generative Adversarial Network (GAN) is considered a remarkable deep learning architecture among its peers. Provided that an ample quantity of data samples is fed to the GAN model, it is feasible to generate novel samples of the same data category. This architectural design served as the foundation for numerous programs. The GAN has emerged as a prominent deep learning framework that has had a significant impact on the field of digital art. This article primarily focuses on elucidating the fundamental aspects of GAN, including its definition, operational mechanism, classification, practical implementations, and correlation with digital art. Simultaneously, inquiries pertaining to the definition of digital art, its practical implementations, and its correlation with the metaverse and digital marketing are being scrutinized.
dc.identifier.doi10.26468/trakyasobed.1297678
dc.identifier.endpage396
dc.identifier.issn1305-7766
dc.identifier.issn2587-2451
dc.identifier.issue2
dc.identifier.startpage375
dc.identifier.trdizinid1219381
dc.identifier.urihttps://doi.org/10.26468/trakyasobed.1297678
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1219381
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4832
dc.identifier.volume25
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTrakya Üniversitesi Sosyal Bilimler Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250310
dc.subjectArtificial Intelligence
dc.subjectDigital Art
dc.subjectDigital Marketing.
dc.subjectGenerative Adversarial Network (GAN)
dc.subjectMetaverse Marketing
dc.titleGENERATIVE ADVERSARIAL NETWORK AND DIGITAL ART INTERACTIONS WITH METAVERSE MARKETING
dc.typeArticle

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