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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25%; open Boeykens, S (2011) Find in CUMINCAD Using 3D Design Software, BIM and Game Engines for Architectural Historical Reconstruction , Proceedings of CAAD Futures 2011, Liege, pp. 493-509

13%; open Wang Y and Lin Y-S (2023) Find in CUMINCAD Public participation in urban design with augmented reality technology based on indicator evaluation , Front. Virtual Real. 4:1071355

25%; open Boeykens, S. (2011) Find in CUMINCAD Using 3D Design software, BIM and game engines for architectural historical reconstruction , Designing Together-CAADfutures (pp. 493-509)

13%; open Wang Y, Shen J, Xiang W, et al (2018) Find in CUMINCAD Identifying characteristics of resilient urban communities through a case study method , J Urban Manag 2018; 7: 141–151

25%; open Boeykens, S. (2011) Find in CUMINCAD Using 3D Design software, BIM and game engines for architectural historical reconstruction , Designing Together-CAADfutures 2011, 493-509

13%; open Wang Y.P., Wang Y. and Wu J. (2009) Find in CUMINCAD Urbanization and informal development in China: urban villages in Shenzhen , Int J Urban Reg Res; 33: 957–973

25%; open Boeykens, Stefan. (2011) Find in CUMINCAD Using 3D Design Software, BIM and Game Engines for Architectural Historical Reconstruction , Proceedings of 14th CAAD Futures 493-509

25%; open Boeykens, Stefan. (2011) Find in CUMINCAD Using 3D Design Software, BIM and Game Engines for Architectural Historical Reconstruction , Proceedings of 14th CAAD Futures, 493-509

13%; open Wang, Donggen (1998) Find in CUMINCAD Conjoint Approaches to Developing Activity-Based Models , Ph.D. Thesis, Faculty of Architecture and Urban Planning, Eindhoven University of Technology, The Netherlands

13%; open Wang, Donggen (1998) Find in CUMINCAD Conjoint Approaches to Developing Activity-Based Models , Ph.D. Thesis, Faculty of Architecture and Urban Planning, Eindhoven University of Technology, The Nederlands

13%; open Wang, H., Chen, D., Duan, H., Yin, F. & Niu, Y. (2019) Find in CUMINCAD Characterizing urban building metabolism with a 4D-GIS model: A case study in China , Journal of Cleaner Production, 228, 1446-1454

13%; open Wang, J. et al. (2022) Find in CUMINCAD Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture , Computers, Environment and Urban Systems, 97, p. 101855

13%; open Wang, J. Zeng, F. Tang, H. Wang and J. Xing, L. (2022) Find in CUMINCAD 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

13%; open Wang, J. (2009) Find in CUMINCAD Art in the capital: Shaping distinctiveness in a culture-led urban regeneration project in Red Town, Shanghai , Cities, 26(6), 318-330

13%; open Wang, J. (2022) Find in CUMINCAD On Professional Problems of Multi-scale Protection of Urban Architectural Heritage in China , City Planning Review, (6),7-24

13%; open Wang, L., Umeki, I. & Sasada, T. (1998) Find in CUMINCAD A Study of Urban Space History Using Computer Graphics Technology , CAADRIA98, pp. 173–182

13%; open Wang, L., Umeki, I. and Sasada, T. (1998) Find in CUMINCAD A Study of Urban Space History Using ComputerGraphics Technology , CAADRIA, pp. 173-182

13%; open Wang, L., Umeki, I. and Sasada, T. (1998) Find in CUMINCAD A Study of Urban Space History Using Computer Graphics Technology , CAADRIA, pp. 173-182

13%; open Wang, M, Yuan, S and Pan, J (2013) Find in CUMINCAD Building detection in high resolution satellite urban image using segmentation, corner detection combined with adaptive windowed Hough Transform , 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, pp. 508-511

13%; open Wang, P., Liu, K., Wang, D., & Fu, Y. (2021) Find in CUMINCAD Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data , Frontiers in Big Data,4, 6997-6997. Available at: https://doi.org/1.3389/fdata.221.6997

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