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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	Stojanovski, T. (2022) Urban Morphology and Artificial Intelligence , Urban Morphology, 26(1), 78-88, DOI: 1.51347/UM26.5

	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, 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, 108781

	Sweet, F.S.T. et al. (2022) Data from public and governmental databases show that a large proportion of the regional animal species pool occur in cities in Germany , Journal of Urban Ecology, 8(1), pp. 1-10. doi:10.1093/jue/juac002

	Szczesniak, J. T., Ang, Y. Q., Letellier-Duchesne, S., & Reinhart, C. F. (2022) A method for using street view imagery to auto-extract window-to-wall ratios and its relevance for urban-level daylighting and energy simulations , Building and Environment, 207, 108. https://doi.org/10.1016/j.buildenv.2021.108108

	Szczes´niak JT, Ang YQ, Letellier-Duchesne S et al (2022) A method for using street view imagery to auto-extract windowto-wall ratios and its relevance for urban-level daylighting and energy simulations , Building and Environment. 2022; 207:108108

	Tang, L., He, J., Peng, W., Huang, H., Chen, C., & Yu, C. (2023) Assessing the visibility of urban greenery using MLS LiDAR data , Landscape and Urban Planning, 232. https://doi.org/10.1016/j.landurbplan.2022.104662

	Thompson, A. E., Walden, J. P., Chase, A. S. Z., Hutson, S. R., Marken, D. B., Cap, B., Fries, E. C., Piedrasanta, M. R. G., Hare, T. S., Horn, S. W., Micheletti, G. J., Montgomery, S. M., Munson, J., Richards-Rissetto, H., Shaw-Müller, K., Ardren, T., Awe, J. J., Brown, M. K., Callaghan, M., Chase, D. Z. (2022) Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale , PLoS ONE, 17(11 November). https://doi.org/10.1371/journal.pone.0275916

	Urech, P. R. W., Mughal, M. O., & Bartesaghi-Koc, C. (2022) A simulation-based design framework to iteratively analyze and shape urban landscapes using point cloud modeling , Computers, Environment and Urban Systems, 91. https://doi.org/10.1016/j.compenvurbsys.2021.101731

	van Ameijde, J., & Cheng, S. (2022) Regenerating Hong Kongs New Towns: Resilience and Collaboration in the Context of Polycentric Urban Development , Urbanie and Urbanus, Issue 6, P.48 - P.67

	van Dinter, M., Kools, M., Dane, G., Weijs-Perrée, M., Chamilothori, K., van Leeuwen, E., Borgers, A., & van den Berg, P. (2022) Urban green parks for long-term subjective well-being: Empirical relationships between personal characteristics, park characteristics, park use, sense of place, and satisfaction with life in The Netherlands , Sustainability, 14(9), 4911

	Wang, J. et al. (2022) Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture , Computers, Environment and Urban Systems, 97, p. 101855

	Wang, J. Zeng, F. Tang, H. Wang and J. Xing, L. (2022) Correlations between the urban built environmental factors and the spatial distribution at the community level in the reported COVID-19 samples: A case study of Wuhan , Cities, 129, 103932 https://doi.org/10.1016/j.cities.2022.103932

	Wang, J. (2022) On Professional Problems of Multi-scale Protection of Urban Architectural Heritage in China , City Planning Review, (6),7-24

	Wei, Z., Ziqi, H., Xin, L. (2022) Voxel-based Urban Vegetation Volume Analysis with Lidar Point Cloud , 7th F‡bos Conference on Landscape and Greenway Planning, F‡bos (Vol:7. Iss:1. Art 67.) The Organizers: Dept. of Landscape Architecture and Regional Planning, University of Massachusetts, Amherst

	Wu, J., Lu, Y., Gao, H., & Wang, M. (2022) Cultivating Historical Heritage Area Vitality Using Urban Morphology Approach Based on Big Data and Machine Learning , Computers, environment and urban systems, 91, 11716, Available at: https://doi.org/1.116/j.compenvurbsys.221.117

	Yang, C., & Qi, G. (2023) An Urban Traffic Knowledge Graph-Driven Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction , 11th International Joint Conference on Knowledge Graphs, IJCKG 2022 (pp. 110-114)

	Yang, L., Marmolejo Duarte, C., & Martí Ciriquian, P. (2022) Quantifying the relationship between public sentiment and urban environment in Barcelona , Cities, 130, 103977

	Yang, Y., Song, F., Ma, J., Wei, Z., Song, L., & Cao, W. (2022) Spatial and temporal variation of heat islands in the main urban area of Zhengzhou under the two-way influence of urbanization and urban forestry , PLoS ONE, 17(8), e0272626. https://doi.org/10.1371/journal.pone.0272626

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