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DEEP LEARNING FOR URBAN PERCEPTION: REGRESSION-BASED COMPARING OF RESNET18, VGG19, AND EFFICIENTNET-B1

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dc.contributor.authorAli Ekincek
dc.contributor.authorSaye Nihan Çabuk
dc.contributor.orcid0000-0002-9888-7695
dc.contributor.orcid0000-0003-4859-2271
dc.date.accessioned2026-05-20T10:10:46Z
dc.date.issued2025-12-25
dc.identifier.doi10.18038/estubtda.1721167
dc.identifier.endpage415
dc.identifier.issn2667-4211
dc.identifier.issue4
dc.identifier.openalexW7117250558
dc.identifier.startpage399
dc.identifier.urihttps://hdl.handle.net/11421/39504
dc.identifier.urihttps://doi.org/10.18038/estubtda.1721167
dc.identifier.volume26
dc.relation.ispartofEskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering
dc.rightsopenAccess
dc.subjectDeep learning
dc.subjectPerception
dc.subjectMean squared error
dc.subjectPreprocessor
dc.subjectQuality (philosophy)
dc.subjectData pre-processing
dc.subjectVisual perception
dc.subject.sdg11
dc.titleDEEP LEARNING FOR URBAN PERCEPTION: REGRESSION-BASED COMPARING OF RESNET18, VGG19, AND EFFICIENTNET-B1
dspace.entity.typePublication

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