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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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67%; open Fan, Z.Y. and Zhang, Y.H. (2020) Find in CUMINCAD Numerical Investigation of key design parameters impact on energy consumption of commercial complex distributed atrium in cold area of China , IOP Conference Series: Earth and Environmental Science, p. 012024
67%; open Feng D-C, Liu Z-T, Wang X-D, et al (2020) Find in CUMINCAD Machine learning-based compressive strength prediction for concrete: an adaptive boosting approach , Construction Building Mater 2020; 230: 117000, Article
67%; open Gong Z, Lin H, Zhang D, et al (2020) Find in CUMINCAD A frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data , ISPRS J Photogram Remote Sens 2020; 159: 90–100.
67%; open Gosselin, C., Duballet, R., Roux, P., Gaudilliere, N., Dirrenberger, J. & Morel, P. (2016) Find in CUMINCAD Large-scale 3D printing of ultra-high performance concrete–a new processing route for architects and builders , Materials & Design, 100, 102-109. https://doi.org/10.1016/j.matdes.2016.03.097Khoshnevis, B. (2004). Automated construction by contour crafting—related robotics and information technologies. Automation in construction, 13(1), 5-19. https://doi.org/10.1016/j.autcon.2003.08.012Le, T. T., Austin, S. A., Lim, S., Buswell, R. A., Gibb, A. G., & Thorpe, T. (2012). Mix design and fresh properties for high-performance printing concrete. Materials and structures, 45(8), 1221-1232. https://doi.org/10.1617/s11527-012-9828-zLi, Z., Wang, L., Ma, G., Sanjayan, J., & Feng, D. (2020). Strength and ductility enhancement of 3D printing structure reinforced by embedding continuous micro-cables. Construction and Building Materials, 264, 120196. https://doi.org/10.1016/j.conbuildmat.2020.120196Lim, J. H., Weng, Y., & Pham, Q. C. (2020). 3D printing of curved concrete surfaces using Adaptable Membrane Formwork. Construction and Building Materials, 232, 117075. https://doi.org/10.1016/j.conbuildmat.2019.117075Ma, G., Li, Z., Wang, L., & Bai, G. (2019). Micro-cable reinforced geopolymer composite for extrusion-based 3D printing. Materials Letters, 235, 144-147. https://doi.org/10.1016/j.matlet.2018.09.159Masoud Akbarzadeh. Andrei Nejur.(2019). Polyframe. From https://psl.design.upenn.edu/polyframe/Mechtcherine, V., Nerella, V. N., Will, F., Näther, M., Otto, J., & Krause, M. (2019). Large-scale digital concrete construction–CONPrint3D concept for on-site, monolithic 3D-printing. Automation in Construction, 107, 102933. https://doi.org/10.1016/j.autcon.2019.102933Salet, T. A., Ahmed, Z. Y., Bos, F. P., & Laagland, H. L. (2018). Design of a 3D printed concrete bridge by testing. Virtual and Physical Prototyping, 13(3), 222-236. https://doi.org/10.1080/17452759.2018.1476064
67%; open Gui, J., Sun, Z., Wen, Y., Tao, D. & Ye, J. (2020) Find in CUMINCAD A review on generative adversarial networks: Algorithms, theory, and applications , arXiv preprint arXiv:2001.06937
67%; open Guo Z, Liu H, Pang L, et al (2020) Find in CUMINCAD DBSCAN-based point cloud extraction for Tomographic synthetic aperture radar (TomoSAR) three-dimensional (3D) building reconstruction , Int J Remote Sens 2021; 42: 2327–2349.
67%; open Guo, Y, Tong, Q Q, Zheng, Y K, Wang, Z Q, Zhang, Y R and Wang, D X (2020) Find in CUMINCAD An Adaptable VR Software Framework for Collaborative Multi-modal Haptic and Immersive Visual Display , Journal of System Simulation, 32(7), pp. 1385-1392
67%; open Guo, Z.-D., Wang, Z.-Y., Zhang, S.-F., Li, X., Li, L., Li, C., Cui, Y., Fu, R.-B., Dong, Y.-Z., Chi, X.-Y., Zhang, M.-Y., Liu, K., Cao, C., Liu, B., Zhang, K., Gao, Y.-W., Lu, B., & Chen, W. (2020) Find in CUMINCAD Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020 , Emerging Infectious Diseases, 26(7)
67%; open Guo, Z.-D., Wang, Z.-Y., Zhang, S.-F., Li, X., Li, L., Li, C., Cui, Y., Fu, R.-B., Dong, Y.-Z., Chi, X.-Y., Zhang, M.-Y., Liu, K., Cao, C., Liu, B., Zhang, K., Gao, Y.-W., Lu, B., And Chen, W. (2020) Find in CUMINCAD Aerosol and Surface Distribution of Severe Acute RespiratorySyndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020 , Emerging Infectious Diseases, 26(7). https://doi.org/10.3201/eid2607.200885
67%; open Gupta, S. S., Tan, Y. Y., Chia, P. Z., Pambudi, C. P., Quek, Y. H., Yogiaman, C., & Tracy, K. J. (2020) Find in CUMINCAD Prototyping Knit Tensegrity Shells: a Design-to-fabrication Workflow , SN Applied Sciences, 2(6), 162. Available at: https://doi.org/1.17/s42452-2-2693-4
67%; open Han, Z., Yan, W. and Liu, G. (2021) Find in CUMINCAD A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision , P.F. Yuan et al. (eds) Proceedings of the 2020 DigitalFUTURES. Singapore: Springer Singapore, pp. 134-143
67%; open Heydarian, A., McIlvennie, C., Arpan, L., Yousefi, S., Syndicus, M., Schweiker, M., Jazizadeh, F., Rissetto, R., Pisello, A. L., Piselli, C., Berger, C., Yan, Z. & Mahdavi, A. (2020) Find in CUMINCAD What drives our behaviors in buildings? A review on occupant interactions with building systems from the lens of behavioral theories , Building and Environment, 179. https://doi.org/10.1016/j.buildenv.2020.106928
67%; open Hong T, Wang Z, Luo X, et al (2021) Find in CUMINCAD State-of-the-art on research and applications of machine learning in the building life cycle , Energy Build 2020; 212: 109831.
67%; open Hong, T, Wang, Z and Zhang, W (2020) Find in CUMINCAD State-of-the-art on research and applications of machine learning in the building life cycle , Energy and Buildings(Report #: 109831), p. 212
67%; open Hong, T., Wang, Z., Luo, X., & Zhang, W. (2020) Find in CUMINCAD State-of-the-art on research and applications of machine learning in the building life cycle , Energy and Buildings, 212, 109831. https://doi.org/10.1016/j.enbuild.2020.109831
67%; open Hosmer, T., Tigas, P., Reeves, D., & He, Z. (2020) Find in CUMINCAD Spatial Assembly with Self-Play Reinforcement Learning , B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina and M. del Campo (Eds.), Distributed Proximities. Proceedings of the 40th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA (pp. 382-393). Online + Global
67%; open Hosmer, T., Tigas, P., Reeves, D., & He, Z. (2020) Find in CUMINCAD Spatial Assembly with Self-play Reinforcement Learning , ACADIA 22 Distributed Proximities. Proceedings of the 4th Annual Conference of the Association for Computer Aided Design Architecture (ACADIA). 22 382-393
67%; open Hu R, Huang Z, Tang Y, et al (2020) Find in CUMINCAD TAP-Net, Graph2Plan , ACM Trans Graph 2020; 39: 1–14.
67%; open Hu, Q., Yang, B., Xie, L., Rosa, S., Guo, Y., Wang, Z., Trigoni, N., &Markham, A. (2020) Find in CUMINCAD RandLA-Net: Efficient semantic segmentation of large-scale point clouds , 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, (pp. 11105-11114). https://doi.org/10.1109/CVPR42600.2020.01112
67%; open Hu, R, Huang, Z, Tang, Y, Matias, O, Kaick, V, Zhang, H and Huang, H (2020) Find in CUMINCAD Graph2Plan: learning floorplan generation from layout graphs , ACM Transactions on Graphics, 39(4), pp. 1-14

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