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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	Zheng H., Pomyen Y, Hernandez MO, et al (2018) Drawing with Bots: Human-computer Collaborative Drawing Experiments , Learn Prototyp Adapt Short Pap Proc 23rd Int Conf Comput Archit Des Res Asia 2018; 68: 127–132.

	Zheng, C, Yuan, J, Zhu, L, Zhang, Y and Shao, Q (2020) From digital to sustainable: A scientometric review of smart city literature between 1990 and 2019 , Journal of Cleaner Production, 1, p. 120689

	Zheng, G., Jing, Y., Huang, H., Zhang, X. & Gao, Y. (2009) Application of Life Cycle Assessment (LCA) and extenics theory for building energy conservation assessment , Energy, 34, 1870-1879

	Zheng, H (2020) Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures , Proceedings of the 2019 DigitalFUTURES, Shanghai, China, 7–8 July 2019, edited by Yuan P., Xie Y., Yao J., Yan C. 169–178. Singapore: Springer. https://doi.org/10.1007/978-981-13-8153-9_15

	Zheng, H., Guo, Z. and Liang, Y. (2019) Iterative Pattern Design via Decodes Python Scripts in Grasshopper , Proceedings of CAAD Futures 2019

	Zheng, H., Guo, Z., & Liang, Y. (2019) Iterative Pattern Design via Decodes Python Scripts in Grasshopper , Proceedings of the 18th CAAD Futures Conference

	Zheng, H., Nn, K., Wei, J., & Ren, Y. (2020) Apartment Floor Plans Generation via Generative Adversarial Networks , 25th International Conference Ofthe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 25(15), 10

	Zheng, J. Y., Yao, J. W. and Yuan, F. (2017) Architectural generation approach with wind tunnel and simulation , Proceedings of CAADRIA Short Papers 2017, pp. 13-18

	Zheng, J. Y., Yao, J. W. and Yuan, F. (2017) Architectural generation approach with wind tunnel and simulation: Environmental Performance-driven design approach for morphology analysis in the early design stage , Proceedings of CAADRIA Short Papers 2017, pp. 13-18

	Zheng, J.Y., Yao, J.W. and Yuan, F. (2017) Architectural Generation Approach with Wind Tunnel and CFD Simulation: Environmental Performance-Driven Design Approach for Morphology Analysis in the Early Design Stage , Proc. Association for Computer-Aided Architectural Design Research in Asia, CAADRIA-Short Papers, Suzhou, pp. 13-18

	Zheng, J.Y. (2018) A Design Method Research About Dynamic Architecture Model Morphology Based on Physical Wind Tunnel Experimental Platform , Master's Thesis, Tongji University

	Zheng, L. Y. (2004) Olympic 1896–2004 , Hu’s Books, Taipei

	Zheng, S., Hao, Y., Lu, D., Bao, H., Xu, J., Hao, H. and Xu, B. (2017) Joint entity and relation extraction based on a hybrid neural network , Neurocomputing, 257, pp. 59-66

	Zheng, T., Pan, Q., Zhang, X., Wang, C., Yan, Y., & Van De Voorde, T. (2024) Research Note: Linking sensory perceptions with landscape elements through a combined approach based on prior knowledge and machine learning , Landscape and Urban Planning, 242, 104928. https://doi.org/10.1016/j.landurbplan.2023.104928

	Zheng, X.Y (2006) The Basics of Color Design. The Fine Arts Press of Heilongjiang Province' , Harbi

	Zheng, Y (2015) Trajectory data mining: an overview , ACM Transactions on Intelligent Systems andTechnology (TIST), 6(3), p. 29

	Zheng, Y (2019) Urban Computing , MIT Press.

	Zheng, Y., Yang, C. and Merkulov, A. (2018) Breast cancer screening using convolutional neural network and follow-up digital mam-mography , Computational Imaging III. International Society for Optics and Photonics

	Zheng, Y. (2011) Location-based social networks: Users. , Zheng, Y. and Zhou, X. (eds), Computing with Spatial Trajectories, Springer

	Zheng, Z., Ren, G., Gao, H. & Yang, Y. (2022) Urban Ventilation Planning and Its Associated Benefits Based on Numerical Experiments: a Case Study in Beijing, China , Building and Environment, 222, 19383, Available at: https://doi.org/1.116/j.buildenv.222.19383.

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