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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	Sun Y and Taplin J. (2018) Adapting principles of developmental biology and agent-based modelling for automated urban residential layout design , Environ Plan B Urban Anal City Sci; 45: 973–993

	Sun, C., de Vries, B. and Zhao, Q. (2008) Measure the Evacuees’ Preference on Architectural Cues by CAVE, in H. J. P. Timmermans and B. de Vries (eds.) , Proceedings of the 9th International 186 LYU J., SUN C. AND ZHAO Q. Conference on Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven University of Technology, Eindhoven, The Netherlands, 15 pp

	Sun, C., Zhang, F., Zhao, P., Zhao, X., Huang, Y. & Lu, X. (2021) Automated Simulation Framework for Urban Wind Environments Based on Aerial Point Clouds and Deep Learning , Applications of AI and Remote Sensing in Urban Systems, 13(12), 2383. https://doi.org/10.3390/rs13122383

	Sun, C., Zhou, Y., & Han, Y. (2022) Automatic Generation of Architecture Facade for Historical Urban Renovation Using Generative Adversarial Network , Building and Environment, 212, 18781. Available at: https://doi.org/1.116/j.buildenv.222.18781

	Sun, C., Zhou, Y., & Han, Y. (2022) Automatic Generation of Architecture Facade for Historical Urban Renovation Using Generative Adversarial Network , Building and Environment, 212, 18781, DOI:1.116/j.buildenv.222.18781

	Sun, C., Zhou, Y., & Han, Y. (2022) Automatic generation of architecture facade for historical urban renovation using generative adversarial network , Building and Environment, 212, 108781

	Sun, C.Y. and Song, X.D. (2019) Deep Reinforcement Learning: A New Approach to Automatic Planning of Highrise Buildings , urban planning forum, 4, pp. 102-108

	Sun, G, Webster, C and Chiaradia, A (2018) Ungating the city: A permeability perspective , Urban studies, 55(12), pp. 2586-2602

	Sun, G., Webster, C. & Zhang, X. (2021) Connecting the city: A three-dimensional pedestrian network of Hong Kong , Environment and Planning B: Urban Analytics and City Science, 48(1), 60–75

	Sun, G., Webster, C. and Zhang, X. (2021) Connecting the city: A three-dimensional pedestrian network of Hong Kong , Environment and Planning B: Urban Analytics and City Science, 48 (1), pp.60-75

	Sun, J, Walters, M, Svensson, N and Lloyd, D (1996) The influence of surface slope on human gait characteristics: a study of urban pedestrians walking on a inclined surface , Ergonomics, 39(4), pp. 677-692

	Sun, J., Wang, H., Song, Z., Lu, J., Meng, P., & Qin, S. (2020) Mapping Essential Urban Land Use Categories in Nanjing By Integrating Multi-source Big Data , Remote Sensing, 12(15), 2386. Available at: https://doi.org/1.339/RS12152386

	Sun, L, Fukuda, T and Resch, B (2014) A synchronous distributed cloud-based virtual reality meeting system for architectural and urban design , Frontiers of Architectural Research, 3(4), pp. 348-357

	Sun, L., Fukuda, T. and Resch, B. (2014) A synchronous distributed cloud-based virtual reality meeting system for architectural and urban design , Frontiers of Architectural Research, 3(4), pp. 348-357

	Sun, L., Fukuda, T., & Resch, B. (2014) A synchronous distributed cloud-based virtual reality meeting system for architectural and urban design , Frontiers of Architectural Research, 3(4), pp. 348-357. Available at: https://doi.org/10.1016/j.foar.2014.05.001 (Accessed 5 June 2024)

	Sun, L., Tang, L., Shao, G., Qiu, Q., Lan, T., & Shao, J. (2019) A Machine Learning-Based Classification System for Urban Built-Up Areas Using Multiple Classifiers and Data Sources , Remote Sensing, 1(12). Available at: https://doi.org/10.3390/rs1201009

	Sun, X. (1994) The city should be rich in the pleasures of wild nature - a traditional aesthetic concept of China for urban planning , Ekistics, 61, no.364/365, 22-28

	Sun, Y., Lu, W., & Gu, Z. (2023) Analysis of spatial form and structure of commercial pedestrian blocks based on Isovist and big data , Environment and Planning B: Urban Analytics and City Science, 50(5), 1313-1327)

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