Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14803
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dc.contributor.authorYönder,V.M.-
dc.date.accessioned2024-09-24T15:55:55Z-
dc.date.available2024-09-24T15:55:55Z-
dc.date.issued2023-
dc.identifier.issn2673-4591-
dc.identifier.urihttps://doi.org/10.3390/IOCBD2023-15381-
dc.identifier.urihttps://hdl.handle.net/11147/14803-
dc.description.abstractThe power of the relationship between building information modeling (BIM) systems and advanced artificial intelligence models holds considerable weight for users of BIM. This relationship allows the generation, analysis, and deduction of insights from substantial construction digital data. This research explores the relationship between generative artificial intelligence (generative AI), deep neural nets, and the BIM systems, including its users. This study examines the correlation between generative artificial intelligence and BIM methodology by conducting a case study. Furthermore, this paper investigates the conceptual and practical use of generative AI components (e.g., text-to-image models, diffusion networks, deep neural networks, large language model, and generative adversarial network) in BIM systems via bibliometric analysis. © 2023 by the author.en_US
dc.language.isoenen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.ispartofEngineering Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectbibliometric analysisen_US
dc.subjectBIM designeren_US
dc.subjectdeep neural networksen_US
dc.subjectgenerative artificial intelligence (GenAI/GAI)en_US
dc.subjecttext-to-image modelsen_US
dc.titleUnderstanding the Impact of Deep Learning Models on Building Information Modeling Systems: A Study on Generative Artificial Intelligence Tools †en_US
dc.typeArticleen_US
dc.institutionauthorYönder,V.M.-
dc.departmentIzmir Institute of Technologyen_US
dc.identifier.volume53en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85197265976-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.3390/IOCBD2023-15381-
dc.authorscopusid58612439800-
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityQ4-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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