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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	Enright, J (2009) Applications in Cross-Curriculum Teaching The Synthesis of the Design Studio and Building Technology Seminar , ARCC JOURNAL, 6(1), pp. 14 - 22

	Enrique, L and Schwartz, J (2016) CASTonCAST Shell Structures: Realisation of a 1: 10 Prototype of a post-tensioned shell structure from precast stackable components , Advances in Architectural Geometry 2016, Zurich, pp. 364-377

	Ensikat, H. J., Ditsche-Kuru, P., Neinhuis, C., & Barthlott, W. (2011) Superhydrophobicity in perfection: The outstanding properties of the lotus leaf , Beilstein Journal of Nanotechnology, 2, 152–161

	Entriken, W, Shirley, D, Evans, J and Sachs, N (2018) ERC-721 Non-Fungible Token Standard, , Ethereum Improvement Proposals, pp. accessed Dec 2020: https://github.com/ethereum/EIPs/blob/master/EIPS/eip-721.md

	Epley, N., A. Waytz, S. Akalis, and J. T. Cacioppo (2008) When We Need a Human: Motivational Determinants of Anthropomorphism , Social Cognition 26 (2): 143–155

	Eppler, M.J., Pfister, R.A. (2010) Drawing Conclusions: Supporting Decision Making through Collaborative Graphic Annotations , Proceedings of 14th International Conference Information Visualisation IV 2010, London, United Kingdom, pp.369-374

	Eppler, M.J. (2003) The Image of Insight: The Use of Visual Metaphors in the Communication of Knowledge , Proceedings of I-KNOW '03, Graz, Austria, July 2-4, p. 81-88

	EPSTEIN, J.; AXTELL, R. (1996) social science from the bottom up , London: MIT Press

	Epstein, J.M. and Axtell, R. (1996) Growing Artificial Societies , Social Science from the Bottom Up, The MIT Press, Cambridge

	Epstein, J.M. and Axtell, R.L. (1996) Growing Artificial Societies: Social Science from the Bottom Up , Boston: M.I.T. Press

	Epstein, J.M. (2006) Generative Social Science: Studies in Agent-Based Computational Modeling , Princeton University Press: Princeton

	Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., Mahari, R., Pentland, A. "Sandy," Russakovsky, O., Schroeder, H., & Smith, A. (2023) Art and the science of Generative AI , Science, 380(6650), 1110-1111. https://doi.org/10.1126/science.adh4451

	Erb, R. M., Sander, J. S., Grisch, R. & Studart, A. R. (2013) Self-shaping composites with programmable bioinspired microstructures , Nature Communications

	Ercan, B., & Elias-Ozkan, S. T. (2015) Performance-based parametric design explorations: A method for generating appropriate building components , Design Studies, 38, 33–53. https://doi.org/10.1016/j.destud.2015.01.001

	ERDOGAN, B. ANUMBA, C.J. BOUCHLAGHEM, D. AND NIELSEN, Y. (2010) An innovative integrated framework towards effective collaboration environments in construction , International Journal of Technology Management, 50(2), p. 139

	Ergan S, Shi Z and Yu X (2018) Towards quantifying human experience in the built environment: a crowdsourcing based experiment to identify influential architectural design features , J Build Eng 2018; 20: 51–59.

	Ergan, S., Shi, Z., & Yu, X. (2018) Towards quantifying human experience in the built environment: A crowdsourcing based experiment to identify influential architectural design features , Journal of Building Engineering, 20, 51-59. https://doi.org/10.1016/j.jobe.2018.07.004

	Erhan H, Salmasi NH and Woodbury R. (2010) Visa: A parametric design modeling method to enhance visual sensitivity control and analysis. , Int J Architectural Comput; 8(4): 461–483.

	Erhan H, Wang IY and Shireen N (2015) Harnessing design space: a similarity-based exploration method for generative design , Int J Architectural Comput 2015; 12: 217–236.

	Erhan H, Wang IY and Shireen N. (2015) Harnessing design space: a similarity-based exploration method for generative design , Int J Archit Comput; 13: 217–236

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