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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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33%; open Filomena, G, Verstegen, JA and Manley, E (2019) Find in CUMINCAD A computational approach to 'The Image of the City' , Cities, 89, pp. 14-25
33%; open Filomena, G, Verstegen, JA and Manley, E (2019) Find in CUMINCAD A computational approach to 'The Image of the City' , Cities, 89, pp. 14-25
33%; open Fragkia, V., Foged, I. W. & Pasold, A. (2021) Find in CUMINCAD Predictive Information Modeling: Machine Learning Strategies for Material Uncertainty , Technology|Architecture + Design, 5(2), 163–176. https://doi.org/10.1080/24751448.2021.1967057Grönquist, P., Wittel, F. K., & Rüggeberg, M. (2018). Modeling and design of thin bending wooden bilayers. PLOS ONE, 13(10), e0205607. https://doi.org/10.1371/journal.pone.0205607Grönquist, P., Wood, D., Hassani, M. M., Wittel, F. K., Menges, A., & Rüggeberg, M. (2019). Analysis of hygroscopic self-shaping wood at large scale for curved mass timber structures. Science Advances, 5(9), eaax1311. https://doi.org/10.1126/sciadv.aax1311Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 610–621. https://doi.org/10.1109/TSMC.1973.4309314
33%; open Fu, M and Liu, R (2019) Find in CUMINCAD Automatic Generation of Path Networks for Evacuation Using Building Information Modeling , Proceedings of Computing in Civil Engineering 2019, pp. 320-327
33%; open Fukuda, T, Yokoi, K, Yabuki, N and Motamedi, A (2019) Find in CUMINCAD An Indoor Thermal Environment Design System for Renovation Using Augmented Reality , Journal of Computational Design and Engineering, 6(2), p. 179-188
33%; open Gade, PN, Gade, AN, Otrel-Cass, K and Svidt, K (2019) Find in CUMINCAD A holistic analysis of a BIM-mediated building design process using activity theory , Construction Management and Economics, 37(6), pp. 336-350
33%; open Galanos, T, Chronis, A, Vesely, O, Aichinger, A and Koenig, R (2019) Find in CUMINCAD Best of both worlds - using computational design and deep learning for real-time urban performance evaluation , OPIARCH - 1st International Conference on Optimization Driven Architectural Design, Amman, Jordan
33%; open Galanos, T, Chronis, A, Vesely, O, Aichinger, A, and Koenig, R. (2019) Find in CUMINCAD Best of both worlds - using computational design and deep learning for real-time urban performance evaluation , 1st International Conference on Optimization Driven Architectural Design
33%; open Galanos, T. Chronis, A. Vesely, O. Aichinger, A. & Koenig, R. (2019) Find in CUMINCAD Best of both worlds – using computational design and deep learning for real-time urban performance evaluation , 1st International Conference on Optimization Driven Architectural Design
33%; open Galanos, T., Chronis, A., Vesely, O., Aichinger, A. and Koenig, R. (2019) Find in CUMINCAD Best of both worlds - using computational design and deep learning for real-time urban performance evaluation , 1st International Conference on Optimization Driven Architectural Design
33%; open Galanos, Theodore, Angelos Chronis, O. Vesely, A. Aichinger, and R. Koenig (2019) Find in CUMINCAD Best of Both Worlds: Using Computational Design and Deep Learning for Real-Time Urban Performance Evaluation , 1st International Conference on Optimization Driven Architectural Design. Amsterdam, Netherlands: Elsevier Ltd
33%; open Ganguli S, Dunnmon J and Hau D (2019) Find in CUMINCAD Predicting food security outcomes using convolutional neural networks (CNNs) for satellite tasking, , https://arxiv.org/abs/1902.05433 (2019).
33%; open Garcia Rosales, CA, Kim, H, Garcia Duarte, MF, Chavez, L, Casta\~neda, M, Tseng, TLB and Lin, Y (2019) Find in CUMINCAD Characterization of shape memory polymer parts fabricated using material extrusion 3D printing technique , Rapid Prototyping Journal, 25(2), pp. 322-331
33%; open Gavali, P. and Banu, J.S. (2019) Find in CUMINCAD Deep convolutional neural network for image classification on CUDA platform , Deep Learning and Parallel Computing Environment for Bioengineering Systems (pp. 99-122). Academic Press. https://doi.org/10.1016/B978-0-12-816718-2.00013-0Government Office for Science (2019). A time of unprecedented change the transport system. GfOS. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/780868/future_of_mobility_final.pdf
33%; open Gegana, G.A., Thiodore, J. and Gunawan, F. (2019) Find in CUMINCAD Study of Lighting and Material Iterations in Full Scale Model Using Virtual Reality and Interactive Architectural Representation , IOP Conference Series: Earth and Environmental Science, 238, doi: 10.1088/1755-1315/238/1/012025
33%; open Gong, Y., Liu, F., Tian, Z., Wu, G., Ren, H., & Guan, C. (2019) Find in CUMINCAD Evaluation of Mechanical Properties of Cross-Laminated Timber with Different Lay-ups Using Japanese Larch , Journal of Renewable Materials, 7(10), 941–956.Journal of Renewable Materials, 7(10), 941–956
33%; 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
33%; open Hadighi, M and Duarte, JP (2019) Find in CUMINCAD Using Grammars to Trace Architectural Hybridity in American Modernism, The Case of William Hajjar Single-Family House , Proceedings of eCAADe 2019, Porto, pp. 529-540
33%; open Hadighi, M and Duarte, JP (2019) Find in CUMINCAD Using Grammars to Trace Architectural Hybridity in American Modernism: The Case of William Hajjar's Single-Family Houses , Proceedings of eCAADe 2019, Porto, Portugal, pp. 529-540
33%; open Hahm, Soomeen, and Alvaro Lopez Rodriguez. (2018) Find in CUMINCAD Bartlett BPro RC9 2017/18, Design and Fabricate through Augmentation , Bartlett Research Cluster 9. Accessed Sept 3, 2019. https://vimeo.com/294774272

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