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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	Kawasaki,T (1998) On the relation between mountain-creases and valley creases of a flat origami (abridged English translation) , H. Huzita (ed.), Proceedings of the First International Meeting of Origami Science and Technology, Ferrara, 1998, 229–237

	Kawasumi N and Yamaguchi S. (1998) Reconstruction of a architectural three dimensional model from orthographic drawings , Proceedings of the 3rd international conference of the Association for Computer-Aided Architectural Design Research in Asia CAADRIA 1998 (ed Sasada T, Yamaguchi S, Morozumi M, et al.), Osaka, Japan, 22–24 April 1998, pp. 355–364. Hong Kong: CAADRIA

	Kay, T.L. and Kajiya, J.T. (1986) Ray Tracing Complex Scenes , Proceedings of SIGGRAPH 86: Computer Graphics 20 no. 4: 269-278

	Kayija, J.T. (1986) The Rendering Equation , Computer Graphics (20) 4 pp. 43-150

	Kayser, Markus, Levi Cai, Christoph Bader, Sara Falcone, Nassia Inglessis, Barrak Darweesh, Joao Costa, and Neri Oxman (2019) Fiberbots: Design and Digital Fabrication of Tubular Structures Using Robot Swarms , Robotic Fabrication in Architecture, Art and Design 2018, edited by J. Willmann, P. Block, M. Hutter, K. Byrne, and T. Schork, 285–296. Cham: Springer

	Kazanasmaz T, Günaydin M and Binol S (2009) Artificial neural networks to predict daylight illuminance in office buildings , Build Environ 2009; 44: 1751–1757

	Kazanasmaz, T, Günaydin, M and Binol, S (2009) Artificial neural networks to predict daylight illuminance in office buildings , Building and Environment, 44(8), pp. 1751-1757

	Kazanasmaz, T., Gunaydin, M. & Binol, S., (2009) Artificial Neural Networks to Predict Daylight Illuminance in Office Buildings , Building and Environment, pp. 1751-1757, Available at: https://doi.org/1.116/j.buildenv.28.11.12.

	Kazanasmaz, T., Günaydin, M. & Binol, S. (2009) Artificial neural networks to predict daylight illuminance in office buildings , Building and Environment, 44(8), 1751–1757

	Kazanasmaz, T., Murat, G., And Selcen, B. (2009) Artificial Neural Networks to Predict Daylight Illuminance in Office Buildings , Building and Environment 44.8 (29), 1751-1757. Available at: https://doi.org/1.116/j.buildenv.28.11.12.

	Keady, P.B. and Halvorsen, T. (2000) A New Tool for Eliminating Indoor Air Quality Complaints , Journal of Nanoparticle Research, 2: 205-208

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