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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	Sammer, MJ, Leit?o, A and Caetano, I (2019) From Visual Input to Visual Output in Textual Programming , Proceedings of CAADRIA 2019, Welligton, New Zealand, pp. 645-654

	Sani S., Auwalu. I. Y., & Ibrahim I. I. (2018) Building projects delivery challenges on remote sites in northern Nigeria , IOP Conf Series: Materials Science and Engineering 513 (2019) 012003

	Sbihi, H., Jarvis, I., & Van Den Bosch, M. (2019) Green Space Exposure and Childhood Health-a Question of Moderation Or Mediation? , Environmental Epidemiology,3, 181. Available at: https://doi.org.10.1097/01.EE9.0000607792.01220.12.

	Sederaviciüte, F., Domskiene, J. and Baltina, I. (2019) Influence of Drying Temperature on Tensile and Bursting Strength of Bacterial Cellulose Biofilm , Materials Science, 25

	Silva L, Silva N and Lacroix I (2019) Interoperability workflow method for designing NURBS surfaces and structures with generative programming , Hello Culture – Proceedings of the 18th CAAD Futures international conference (ed JH Lee) Daejeon, Republic of Korea, 26-28 June 2019, paper no

	Solaiman I, Brundage M, Clark J, et al (2019) Release strategies and the social impacts of language models , Epub ahead of print November 2019

	Suzuki, Y., Nakagawa, K., Sugiyama, T., Akiba, F., Maestri, E., Choi, I., & Tsuchiya, S. (2019) Computational Aesthetics , Springer Briefs in Applied Sciences and Technology

	Suzuki, Y., Nakagawa, K., Sugiyama, T., Akiba, F., Maestri, E., Choi, I., & Tsuchiya, S. (2019) Computational Aesthetics , Springer Briefs in Applied Sciences and Technology

	Taylor I (ed) (2019) Future campus: design quality in university buildings , London: RIBA Publishing, 2019, p 176.

	Tedbury, I (2019) Semblr, 2017 , Retsin, G, Jimenez, M, Claypool, M and Soler, V (eds), Robotic Building. Architecture in the Age of Automation, DETAIL, pp. 84-85

	Toda, A. M.; Carmo, R. M. C.; Silva, A. P.; Bittencourt, I.; Isotani, S. (2019) An approach for planning and deploying gamification concepts with social networks within educational contexts , International Journal of Information Management. Vol. 46. P. 294-303

	Tokac, I., Bruyninckx, H., Cannaer, C., & Moere, A. (2019) Material Sketching: Towards the Digital Fabrication of Emergent Material Effects , Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems,(pp. 1-6)

	Tsinikas, N., Antoniou, D., Dimopoulos, G., Kontaxakis, D. and Symeonidou, I. (2019) Educational Objectives From An Architectural Studio On Nature & Space Structures , SMC MAGAZINE, SPECIAL ISSUE N. THREE/2019, MEMBRANE MATERIALS FOR SUSTAINABLE ARCHITECTURE, pp. 39-47

	Ventimiglia I and Seedat S (2019) Current evidence on urbanicity and the impact of neighbourhoods on anxiety and stressrelated disorders , Current Opinion in Psychiatry 2019; 32(3): 248–253.

	Werner, L (2019) HUNCH 1972: A Second Experiment in Sketch Recognition or: 'I Know the Concept of Your Concept of Interpolation' , Marcos, CL (eds), Graphic Imprints: The Influence of Representation and Ideation Tools in Architecture, Springer, Cham, pp. 3-11

	Woiseth, H. & Nilsson, F. (2011) Building (Trans)Disciplinary Architecture Research – Introducing Mode 1 and mode 2 to Design Practitioners , I. Doucet & N. Janssens (Eds.) Transdisciplinary Knowledge Production Architecture and Urbanism. Urban and Landscape Perspectives (pp. 79-96). Springer, https://doi.org/10.1007/978-94-007-0104-5_6Young, L. (2019). Neo Machine, Architecture Without People. N. Young (Ed.) Machine Landscapes, Architectures of the Post Anthropocene (pp. 6-13). Architectural Design

	Yu, Y., Hur, T., Jung, J. & Jang, I. G. (2019) Deep learning for determining a near-optimal topological design without any iteration , Structural Multidisciplinary Optimization, 59(3), 787-799. doi:https://doi.org/10.1007/s00158-018-2101-5

	Zhou, K, Chen, Y, Smal, I and Lindenbergh, R (2019) Building segmentation from Airborne VHR Images Using mask R-CNN , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., p. 155-161

	Zhou, K, Chen, Y, Smal, I and Lindenbergh, R (2019) Building segmentation from Airborne VHR Images Using mask R-CNN , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., p. 155-161

	"Retsin, Gilles" (2019) Real Virtuality , Royal Academy of Arts. Available at: https://www.retsin.org/Royal-Academy-of-Arts (Accessed: July 10, 2021)

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