Machine learning in the discipline of architecture: A review on the research trends between 2014 and 2020.

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Title: Machine learning in the discipline of architecture: A review on the research trends between 2014 and 2020.
Authors: Özerol, Gizem1, ozerol.gizem@gmail.com, Arslan Selçuk, Semra1
Source: International Journal of Architectural Computing; Mar2023, Vol. 21 Issue 1, p23-41, 19p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Machine learning in the discipline of architecture: A review on the research trends between 2014 and 2020.
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  Data: <searchLink fieldCode="AU" term="%22Özerol%2C+Gizem%22">Özerol, Gizem</searchLink><relatesTo>1</relatesTo>, <i>ozerol.gizem@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Arslan+Selçuk%2C+Semra%22">Arslan Selçuk, Semra</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Architectural+Computing%22">International Journal of Architectural Computing</searchLink>; Mar2023, Vol. 21 Issue 1, p23-41, 19p
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        Value: 10.1177/14780771221100102
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        Text: English
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        PageCount: 19
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              Text: Mar2023
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              Y: 2023
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