Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/13626
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÇiçek, Selen-
dc.contributor.authorTurhan, Gözde Damla-
dc.contributor.authorTaşer, Aybüke-
dc.date.accessioned2023-07-27T19:50:02Z-
dc.date.available2023-07-27T19:50:02Z-
dc.date.issued2023-
dc.identifier.issn1478-0771-
dc.identifier.issn2048-3988-
dc.identifier.urihttps://doi.org/10.1177/14780771231181237-
dc.identifier.urihttps://hdl.handle.net/11147/13626-
dc.descriptionArticle; Early Accessen_US
dc.description.abstractThe urban built environment of contemporary cities confronts a constant risk of deterioration due to natural or artificial reasons. Especially political aggression and war conflicts have significant destructive effects on architectural and cultural heritage buildings. The post-war urbanscapes demonstrate the striking effects of the armed conflicts during the hot war encounters. However, the residues of the urbanscapes become the actual indicators of damage and loss. Since today we can make future predictions using a variety of machine learning algorithms, it is possible to represent hybrid projections of urban heterotopias. In this context, this research proposes to explore dystopian post-war projections for modern cities based on their architectural styles and demonstrate the utopian scenarios of rehabilitation possibilities for the damaged urban built environment of post-war cities by using generative adversarial network (GAN) algorithms. Two primary datasets containing the post-war and pre-war building facades have been given as the input data for the CycleGAN and pix2pix GAN models. Thus, two different image-to-image GAN models have been compared regarding their ability to produce legible building facade projections in architectural features. Besides, the machine learning process results have been discussed in terms of cities' utopian and dystopian future predictions, demonstrating the war conflicts' immense effects on the built environment. Moreover, the immediate consequence of the destructive aggression on tangible and intangible architectural heritage would become visible to inhabitants and policymakers when the AI-generated rehabilitation potentials have been exposed.en_US
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofInternational Journal of Architectural Computingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPost-waren_US
dc.subjectUrban rehabilitationen_US
dc.subjectGenerative adversarial networksen_US
dc.subjectCycleGANen_US
dc.subjectMachine learningen_US
dc.subjectArtificial intelligenceen_US
dc.titleDeterioration of pre-war and rehabilitation of post-war urbanscapes using generative adversarial networksen_US
dc.typeArticleen_US
dc.authorid0000-0002-0335-2904-
dc.institutionauthorTaşer, Aybüke-
dc.departmentİzmir Institute of Technology. Architectureen_US
dc.identifier.wosWOS:001007354200001en_US
dc.identifier.scopus2-s2.0-85162995893en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1177/14780771231181237-
dc.authorscopusid57894895400-
dc.authorscopusid57454102500-
dc.authorscopusid57889458600-
dc.authorwosidTaşer, Aybüke/HGB-1084-2022-
dc.identifier.scopusqualityQ2-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
Appears in Collections:Architecture / Mimarlık
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

24
checked on May 6, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.