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Titel:

Predicting semantic building information (BIM) with Recurrent Neural Networks

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Mete, Burak; Bielski, Jessica; Eisenstadt, Viktor; Langenhan, Christoph; Petzold, Frank; Althoff, Klaus-Dieter
Abstract:
Recent advances in technology established artificial intelligence (AI) as a crucial domain of computer science for both industry and research, but also for everyday life. However, while computer-aided architectural design (CAAD) and digital semantic building models (BIM) became essential aspects of the contemporary architectural design process, AI cannot be seen as a leading support-ive computational method due to its absence in the established design software and the challenging acquisition of...     »
Stichworte:
LOCenter
Kongress- / Buchtitel:
European Conference on Product and Process Modeling
Band / Teilband / Volume:
-
Verlag / Institution:
European Association of Product and Process Modelling
Verlagsort:
Trondheim, Norway
Jahr:
2022
Seiten:
-
Serientitel:
ECPPM
Serienbandnummer:
14
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