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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	Ganguli S, Dunnmon J and Hau D (2019) Predicting food security outcomes using convolutional neural networks (CNNs) for satellite tasking, , https://arxiv.org/abs/1902.05433 (2019).

	Gann, D, Salter, A and Whyte, J (2003) Design Quality Indicator as a tool for thinking , Building Research and Information, 31, pp. 318-333

	Gann, D., Salter, A., and Whyte, J. (2003) Design Quality Indicator as a tool for thinking , Building Research & Information, 31(5), 318-333. https://doi.org/10.1080/0961321032000107564

	Gann, D.M., and Salter, A.J. (2000) Innovation in project- based, service-enhanced firms: the construction of complex products and systems , Research Policy 29(7-8): 955-972

	Gann, D.M., Salter, A.J. & Whyte, J.K. (2003) Design Quality Indicator as a tool for thinking , Building Research and Information. 31(5) : pp. 318-333

	Gannon, M., Sandoval, J., Mcphail, K., & Snell, B. (2016) Mimus, the Curious Industrial Robot , ATONATON. Available at: https://atonaton.com/mimus

	Gantes, C. J. (2001) Deployable Structures: Analysis and Design , Southampton: WIT Press

	Gantes, C. J. (2001) Deployable Structures: Analysis and Design , WITPress, Southampton Boston

	Gantes, C. J. (2001) Deployable Structures: Analysis And Design , WIT Press, Southampton, UK

	Gantes, C. J. (2001) Deployable Structures: Analysis and Design , WIT Press, Southampton

	Gantes, C.J. (2001) Deployable structures: Analysis and design , Southampton: WIT Press

	Gantes, Charles J. (2001) Deployable Structures: Analysis and Design , UK: WIT Press

	Gantz, J and Reinsel, D (2011) Extracting Value from Chaos , IDC iview, v. 1142, p. 12

	Gao J., Shen T., Wang Z., Chen W., Yin K., Li D., Litany O., Gojcic Z., and Fidler S. (2022) GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images , Advances in Neural Information Processing Systems. Curran Associates, Inc. https://proceedings.neurips.cc/paper_files/paper/2022/file/cebbd24f1e50bcb63d015611fe0fe767-Paper-Conference.pdf

	Gao P, Tian T, Li L, et al (2021) DE-CycleGAN: an object enhancement network for weak vehicle detection in satellite images , IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 2021; 14: 3403–3414. DOI: 10.1109/JSTARS.2021.3062057.

	GAO, Boqing, LI, Tierui, MA, Teng and YE, Jun (2018) A practical grid generation procedure for the design of free-form structures[J] , Computers & Structures, 196, pp. 292-310

	Gao, C., & Kiendl, J. (2020) Controlling Toughness and Strength of Fdm 3D-printed Pla Components Through the Raster Layup , Composites Part B: Engineering, 18, 17562. Available at: https://doi.org/1.116/j.compositesb.219.17562

	Gao, J et al. (2017) Relationships between neighborhood attributes and subjective well-being among the Chinese elderly: Data from Shanghai , BioScience Trends, 11(5), 516-523

	Gao, L., J. Yang, Y. Qiao, Y. Lai, P. L. Rosin, W. Xu, and S. Xia (2018) Automatic Unpaired Shape Deformation Transfer , ACM Transactions on Graphics 37 (6): 1–15

	Gao, S and Kvan, T (2004) An Analysis of Problem Framing in Multiple Settings , J Gero (ed) Design Computing and Cognition ‘04, Kluwer Academic Publishers, Dordrecht, pp. 117-134

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