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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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17%; open Wang, J, Huang, Z, Xu, H and Kang, Z (2018) Find in CUMINCAD Clustering analysis of human behavior based on mobile phone sensor data , Proceedings of the 2018 10th International Conference on Machine Learning and Computing, pp. 64-68
17%; 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
17%; open Wang, Jason, and Luis Perez. (2017) Find in CUMINCAD The Effectiveness of Data Augmentation in Image Classification Using Deep Learning , Convolutional Neural Networks Vis. Recognit
17%; open Wang, K. S. (2010) Find in CUMINCAD A Comparative Study on the Interaction Styles of Multi-tagged Augmented Reality Games for Supporting Mobile Learning in a Heritage Temple , Master's Thesis, Tatung University
17%; open Wang, L., & Witte, M. J. (2022) Find in CUMINCAD Integrating Building Energy Simulation with a Machine Learning Algorithm for Evaluating Indoor Living Walls Impacts on Cooling Energy Use in Commercial Buildings , Elsevier: Energy and Buildings,272, 112322. Available at: https://doi.org/1.116/j.enbuild.222.112322.
17%; open Wang, L., Han, X., He, J., & Jung, T. (2022) Find in CUMINCAD Measuring residents perceptions of city streets to inform better street planning through deep learning and space syntax , ISPRS Journal of Photogrammetry and Remote Sensing, 190, 215-230. https://doi.org/10.1016/j.isprsjprs.2022.06.011
17%; open Wang, L., Janssen, P. & Ji, G. (2018) Find in CUMINCAD Efficiency versus effectiveness: A study on constraint handling for architectural evolutionary design , Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference (pp. 163–172)
17%; open Wang, M, Yu, L, Zheng, D, Gan, Q, Gai, Y and Ye, Z (2019) Find in CUMINCAD Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs , arXiv:1909.01315
17%; open Wang, R., Liu, Y., Lu, Y., Zhang, J., Liu, P., Yao, Y., & Grekousis, G. (2019) Find in CUMINCAD Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique , Computers, Environment and Urban Systems, 78, 101386. https://doi.org/10.1016/j.compenvurbsys.2019.101386
17%; open Wang, R., Wang, X., Kim, M.J. (2011) Find in CUMINCAD Motivated learning agent model for distributed collaborative systems , Expert Systems with Applications, 38(2), pp. 1079-1088
17%; open Wang, S., Zargar, S. A. & Yuan, F.-G. (2020) Find in CUMINCAD Augmented reality for enhanced visual inspection through knowledge-based deep learning , Structural Health Monitoring, 20(1), 426-442
17%; open Wang, TY, Cylan, D, Popovic, J and Mitra, NJ (2018) Find in CUMINCAD Learning a shared shape space for multimodal garment design , arXiv preprint, arXiv:1806.11335
17%; open Wang, W., Guo, H., Li, X., Tang, S., Xia, J., And Lv, Z. (2022) Find in CUMINCAD Deep Learning for Assessment of Environmental Satisfaction Using Bim Big Data in Energy Efficient Building Digital Twins , Sustainable Energy Technologies and Assessments, 5, 11897
17%; open Wang, X, Love, PED, Klinc, R, Kim, MJ and Davis, PR (2012) Find in CUMINCAD Integration of e-Learning 2.0 with Web 2.0 , Journal of Information Technology in Construction, 17, pp. 387-396
17%; open Wang, X., Love, P. E. D., Klinc, R., Kim, M. J., and Davis, P. R. (2012) Find in CUMINCAD Integration of E – learning 2.0 with web 2.0 , Journal of Information Technology in Construction (ITcon), 17, 387–396
17%; open Wang, X., Love, P.E.D., Klinc, R., Kim, M.J. and Davis, P.R. (2012) Find in CUMINCAD Integration of E – learning 2.0 with web 2.0 , Journal of Information Technology in Construction (ITcon), 2012, 17, 387-396
17%; open Wang, Y., Li, B., Wang, Y., & Chen, F. (2015) Find in CUMINCAD Metadata dependent Mondrian processes , International Conference on Machine Learning (pp. 1339-1347). PMLR
17%; open Wang, Z., Liu, J., Zhang, Y., Yuan, H., Zhang, R., & Srinivasan, R. S. (2021) Find in CUMINCAD Practical Issues in Implementing Machine-learning Models for Building Energy Efficiency: Moving Beyond Obstacles , Renewable and Sustainable Energy Reviews,143, 11929. Available at: https://doi.org/1.116/j.rser.221.11929.
17%; open Wang, Zheng, Xiao, Dunhui, Fang, Fangxin, Govindan, Rajesh, Pain, Christopher C and Guo, Yike (2018) Find in CUMINCAD Model identification of reduced order fluid dynamics systems using deep learning , International Journal for Numerical Methods in Fluids, 86, pp. 255-268
17%; open Wang, Y., Sun, Y., Liu, Z., Sarma, S. E., Bronstein, M. M., & Solomon, J. M. (2019) Find in CUMINCAD Dynamic graph CNN for learning on point clouds , ACM Transactions on Graphics, 38(5), 1-12. https://doi.org/10.1145/3326362

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