Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Arvin, S.A. and House, D.H. (1999) Modeling Architectural Design Objectives in Physically Based Space Planning , Proceedings of ACADIA 1999, Salt Lake City, Utah, pp. 212-225

	Arvin, S.A. and House, D.H. (2002) Modelling Architectural Design Objectives in Physically Based Space Planning , Automation in Construction, 11(2), p. 213-225

	Arvin, S.A. and House, D.H. (2002) Modeling Architectural Design Objectives in Physically Based Space Planning , Automation in Construction, 11(2): 213-225

	Arvin, S.A. and House, D.H. (2002) Modeling Architectural Design Objectives in Physically Based Space Planning , Automation in Construction, 11(2), 213-225

	Arvin, S.A., House, D.H. (2002) Modeling architectural design objectives in physically based space planning , Automation in Construction, 11(2), pp. 213–225

	Arvin, S.A. (2004) Physically Based Mechanical Metaphors in Architectural Space Planning , Ph.D. Thesis, Texas A&M University

	Aryal, J., Sitaula, C., & Aryal, S. (2022) Ndvi Threshold-based Urban Green Space Mapping from Sentinel-2a At the Local Governmental Area (lga) Level of Victoria, Australia , Land, 11(3), 351. Available at: https://doi.org/1.339/land113351

	Aryee, S (1991) Combating obsolescence: Predictions of technical updating among engineers , Journal of Engineering and Technology Management, 8, 103-119

	As I, Pal S and Basu P (2018) Artificial intelligence in architecture: generating conceptual design via deep learning , Int J Architectural Comput 2018; 16: 306–327

	As I, Pal S and Basu P (2018) Artificial intelligence in architecture: generating conceptual design via deep learning , Int J Architectural Comput 2018; 16(4).

	As I, Pal S and Basu P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing 2018; 16(4): 306–327.

	As I, Pal S and Basu P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing 2018; 16: 306–327. DOI: 10.1177/1478077118800982.

	As I, Pal S and Basu P. (2018) Artificial intelligence in architecture: generating conceptual design via deep learning , Int J Archit Comput; 16: 306–327

	As, I, Pal, S and Basu, P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16(4), pp. 306-327

	As, I, Pal, S and Basu, P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16(4), pp. 306-327

	As, I, Pal, S and Basu, P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16(4), pp. 306-327

	As, I, Pal, S and Basu, P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16, pp. 306-327

	As, I, Pal, S and Basu, P (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16 (4), p. 306-327

	As, I., Pal, S. & Basu, P. (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16(4), 306–327. https://doi.org/10.1177/1478077118800982Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017). Geometric deep learning: Going beyond Euclidean data. IEEE Signal Processing Magazine, 34(4), 18–42. https://doi.org/10.1109/MSP.2017.2693418

	As, I., Pal, S. and Basu, P. (2018) Artificial intelligence in architecture: Generating conceptual design via deep learning , International Journal of Architectural Computing, 16(4), pp. 306-327

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