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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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20%; open Takahashi, H., & Kim, J. (2019) Find in CUMINCAD 3D Printed Fabric: Techniques for Design and 3D Weaving Programmable Textiles , UIST 219 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 43-51. Available at: https://doi.org/1.1145/3332165.3347896
20%; open Talen, E. (2013) Find in CUMINCAD Zoning for and Against Sprawl: the Case for Form-based Codes , Journal of Urban Design, 18(2), pp.175-2, Available at: https://doi.org/1.18/1357489.213.772883.
20%; open Tamke, M., Blümel, I., Ochmann, S., Vock, R., Wessel, R. (2014) Find in CUMINCAD From Point Clouds to Definitions of Architectural Space - Potentials of Automated Extraction of Semantic Information from Point Clouds for the Building Profession , Paper presented at the Proceedings of the 32nd eCAADe Conference, England, UK
20%; open Tamura, H., Yamamoto, H. and Katayama, A. (2001) Find in CUMINCAD Mixed reality: future dreams seen at the border between real and virtual worlds , IEEE Computer Graphics and Applications, 21(6), pp. 64-70
20%; open Tamura, H.,Yamamoto, H., Katayama,A. (2001) Find in CUMINCAD Mixed reality: Future dreams seen at the border between real and virtual worlds , Computer Graphics and Applications, vol. 21, no. 6, pp. 64–70
20%; open Tan, H. et al. (2020) Find in CUMINCAD Building envelope integrated green plants for energy saving , Energy Exploration & Exploitation, 38(1), pp. 222-234. Available at: https://doi.org/10.1177/0144598719875529
20%; open Tan, J. J. Y., Lee, C. P., & Hashimoto, M. (2020) Find in CUMINCAD Preheating of Gelatin Improves Its Printability with Transglutaminase in Direct Ink Writing 3D Printing , International Journal of Bioprinting,6(4). Available at: https://doi.org/1.163/1.55399.
20%; open Tan, M., & Le, Q. (2019) Find in CUMINCAD Efficientnet: Rethinking Model Scaling for Convolutional Neural Networks , International conference on machine learning (pp. 615-6114). PMLR, Available at: https://doi.org/1.4855/arXiv.195.11946.

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