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A computational framework for aesthetic preferences in architecture using computer vision and artificial neural networks.

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Title: A computational framework for aesthetic preferences in architecture using computer vision and artificial neural networks.
Authors: Sardenberg, Victor1,2, sardenberg@iat.uni-hannover.de, Guatelli, Igor2, Becker, Mirco1
Source: International Journal of Architectural Computing; Mar2025, Vol. 23 Issue 1, p174-192, 19p
Database: Applied Science & Technology Source
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  Data: A computational framework for aesthetic preferences in architecture using computer vision and artificial neural networks.
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  Data: <searchLink fieldCode="AU" term="%22Sardenberg%2C+Victor%22">Sardenberg, Victor</searchLink><relatesTo>1,2</relatesTo>, <i>sardenberg@iat.uni-hannover.de</i><br /><searchLink fieldCode="AU" term="%22Guatelli%2C+Igor%22">Guatelli, Igor</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Becker%2C+Mirco%22">Becker, Mirco</searchLink><relatesTo>1</relatesTo>
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        Value: 10.1177/14780771241279350
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 174
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      – TitleFull: A computational framework for aesthetic preferences in architecture using computer vision and artificial neural networks.
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              Text: Mar2025
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