ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage ; volume:12 ; number:1 ; day:28 ; month:6 ; year:2024 ; pages:1-14 ; date:12.2024
Heritage Science ; 12, Heft 1 (28.6.2024), 1-14, 12.2024
- Urheber
-
Zhang, Jiaxin
Xiang, Rikui
Kuang, Zheyuan
Wang, Bowen
Li, Yunqin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40494-024-01334-x
- URN
-
urn:nbn:de:101:1-2409230942123.222617787512
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
07.06.2025, 14:36 MESZ
Datenpartner
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Beteiligte
- Zhang, Jiaxin
- Xiang, Rikui
- Kuang, Zheyuan
- Wang, Bowen
- Li, Yunqin
- SpringerLink (Online service)
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