Titlebook: Computer-Aided Architectural Design. Design Imperatives: The Future is Now; 19th International C David Gerber,Evangelos Pantazis,Constantin

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Building Archetype Characterization Using K-Means Clustering in Urban Building Energy Models. clustering algorithm for UBEM. First, the performance of the . clustering algorithm was tested by using the observations on the training data set with design parameters and performance objectives. The second analysis tests the prediction accuracy under different selection rates (5% and 10%) from t

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Interior Design Network of Furnishing and Color Pairing with Object Detection and Color Analysis Bason, and network analysis. To do that, we collected a large quantity of image data (N = 14,111) from Today’s House (ohou.se) online interior-design platform. Then, we extracted furnishing objects and color palettes from the collected images using object detection and color extraction algorithms. Fina

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Computer-Aided Architectural Design. Design Imperatives: The Future is Now19th International C

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https://doi.org/10.1007/978-981-19-1280-1architecture designs; artificial intelligence; computer hardware; computer networks; computer systems; co

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https://doi.org/10.1057/9780230370227ons, while in some cases clear boundaries are implemented for controlled environment, in other situations they are more porous and ephemeral. This paper presents an attempt of challenging volume and boundary relationships in architecture by designing forms of airflow using state of art 3D visual eff

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