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

PDF papers
References

Hits 61 to 80 of 72982

Reformat results as: short short into frame detailed detailed into frame

Details	Citation	Select
	Arup, O. (1972) Future problems facing the designer. Philosophical Transactions for the Royal Society of London , Series A, Mathematical and Physical Sciences, 573–578

	Aruta, G., Ascione, F., Bianco, N., & Mauro, G. M., (2023) Sustainability and energy communities: Assessing the potential of building energy retrofit and renewables to lead the local energy transition , Energy, 282, 128377

	Arutjunjan, R., et al. (2005) Thermochromic Glazing For Energy Saving Window Applications , Procedings of SPIE vol. 5946, 2005 Belingham

	Arvanitidis G, Hansen L, Hauberg S (2018) Latent Space Oddity: On the Curvature of Deep Generative Models , ICLR 2018. pp. 1–15

	Arvanitis, T. N., Petrou, A., Knight, J. F., Savas, S., Sotiriou, S., Gargalakos, M. (2007) Human factors and qualitative pedagogical evaluation of a mobile augmented reality system for science education used by learners with physical disabilities , Personal and Ubiquitous Computing, 13(3), 243–250

	Arvin, S. and House, D. (1999) Phisically Based Modeling Technique In Space Layout Planning , Proceedings of the Eighth International Conference on Computer Aided Architectural Design Futures, Atlanta, 7-8 June 1999, pp. 245-262

	Arvin, S.A. and House, D.H. (1999) Making Designs come Alive: Using Physically Based Modeling Techniques in Space Layout Planning , Computers in Building, Proceedings of the CAADFuture’s ’99 Conference, pp. 245-262

	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. (1999) Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning , Proceedings of CAAD Futures 1999, Atlanta, pp. 245-262

	Arvin, S.A. and House, D.H. (1999) Modeling Architectural Design Objectives in Physically Based Space Planning , Ataman, O., Bermudez, J., ed., Media and Design Process: Proceedings of ACADIA 99, Elsevier, Salt Lake City, Utah, 1999, 212-225.

	Arvin, S.A. and House, D.H. (1999) Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning , G. Augenbroe and C. Eastman (Eds.), Computers in Building: Proceedings of the CAADfutures '99 Conference (pp. 245-262), Atlanta, GA: Kluwer Academic Publishers

	Arvin, SA and House, DH (1999) Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning , Computers in Building: Proceedings of the CAADfutures'99, Georgia Institute of Technology, Atlanta, Georgia, USA, pp. 245-262

	Arvin, Scott A. and House, Donald H. (1999) Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning , Proceedings of the Eighth International Conference on Computer Aided Architectural Design Futures, Atlanta, GA, 1999, pp. 245-262

	Aryal, A. And Becerik-Gerber, B. (2018) Energy consequences of Comfort-driven temperature setpoints inoffice buildings , Energy and Buildings, Elsevier B.V., Vol. 177, pp. 33–46

	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 , 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 , 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

For more results click below: