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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	Mengtian Li, Zhe Lin, Radomir Mech, Ersin Yumer, and Deva Ramanan (2019) Photo-sketching: Inferring contour drawings from images , 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1403-1412

	Ganguli S, Garzon P and Glaser N (2019) GeoGAN: a conditional GAN with reconstruction and style loss to generate standard layer of maps from satellite images, , https://arxiv.org/abs/1902.05611 (2019). 294 International Journal of Architectural Computing 21(2)

	Garrido, I., Lagüela, S., Sfarra, S., Madruga, F. J., & Arias, P. (2019) Automatic detection of moistures in different construction materials from thermographic images , Journal of Thermal Analysis and Calorimetry, 138(2), 1649-1668. https://doi.org/10.1007/s10973-019-08264-y

	Gosselin, C., Duballet, R., Roux, P., Gaudilliere, N., Dirrenberger, J. & Morel, P. (2016) 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

	Hoffmann, EJ, Wang, YY, Werner, M, Kang, J and Zhu, XX (2019) Model fusion for building type classification from aerial and street view images , Remote Sensing, 11(11), p. 1259

	Kaspar A, Oh T-H, Makatura L, et al. (2019) Neural inverse knitting: from images to manufacturing instructions , Proceedings of 36th international conference on machine learning (ICML), PMLR. Long Beach, CA, 10–15 June 2019

	Nishimura, N, Yabuki, N and Fukuda, T (2019) Automatic Detection of Positions and Shapes of Various Objects at Construction Sites from Digital Images Using Deep Learning , Wu, P and Wang, X (eds), Innovative Production and Construction, World Scientific Pub Co Inc

	Rahaman H, Champion E and Bekele M (2019) From photo to 3D to mixed reality: a complete workflow for cultural heritage visualisation and experience , Digital Appl Archaeol Cultural Heritage 2019; 13: e00102

	Rahaman, H., Champion, E., & Bekele, M. (2019) From photo to 3D to mixed reality: A complete workflow for cultural heritage visualisation and experience , Digital Applications in Archaeology and Cultural Heritage, 13, e00102

	Zhou, K, Chen, Y, Smal, I and Lindenbergh, R (2019) Building segmentation from Airborne VHR Images Using mask R-CNN , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., p. 155-161

	Zhou, K, Chen, Y, Smal, I and Lindenbergh, R (2019) Building segmentation from Airborne VHR Images Using mask R-CNN , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., p. 155-161

	Binford, T.O. (1981) Inferring Surfaces from Images , Artificial Intelligence 17,205-244, North Holland, Amsterdam

	Ejiri, M., Kakumoto, S., Miyatake, T., Shimada, S. and lwamura, K. (1985) Automatic Recognition of Engineering Drawings and Maps , Kasturi, R. and Trivedi, M. (eds.), Image Analysis Applications. New York: Marcel Dekker Inc., 1990; Bow, S. and R. Kasturi, "A Graphics Recognition System for Interpretation of Line Drawings," in Kasturi, R. and Trivedi, M. (eds.) Image Analysis Applications, New York: Marcel Dekker, 1990; Kasturi, R., R. Fernandez, M.L. Amlani, and W.C. Feng, "Map Data Processing in Geographical Informational Systems," Computer, 22 (12), 1989, pp. 10-21; Shih, C.-C., M. Kasturi, "Extraction of Graphic Primitives from Images of Paper-Based Drawings," Machine Vision and Applications, 2, 1989, pp. 103-113; HoferAlfeis, J., "Automated Conversion of Existing Mechanical-Engineering Drawings to CAD Data Structure: State of the Art," Proceedings of IFIP TC5 2nd International Conference on Computer Applications in Production and Engineering (CAPE '86), Copenhagen, 1986; Pavlidis, T., "A Vectorized and Feature Extractor for Document Recognition," Computer Vision, Graphics and Image Processing, 35 (111), 1986, pp. 319-328; and Karima, M., K.S. Sandal, and T.O. McNeil, "From Paper Drawings to Computer Aided Design," IEEE Computer Graphics and Applications, 1985, pp. 24-39

	A. Harichandran, B. Raphael, and A. Mukherjee (2019) Determination of automated construction operations from sensor data using machine learning , Proceedings of the 4th International Conference on Civil and Building Engineering Informatics

	A. Jipa, F. Giacomarra, R. Giesecke, G. Chousou, M. Pacher, B. Dillenburger, M. Lomaglio, and M. Leschok (2019) 3D-Printed Formwork for Bespoke Concrete Stairs: From Computational Design to Digital Fabrication , Proceedings of the ACM Symposium onComputational Fabrication. Pittsburgh Pennsylvania: ACM. 1–12

	A. Paxton, J. J. C. Blau, and M. Weston (2019) The case for intersectionality in ecological psychology , Studies in Perception and Action: Proceedings from the Twentieth International Conference on Perception and Action. Enschede: Ipskamp Printing

	Abbasabadi, N. and Ashayeri, M. (2019) Urban energy use modelling methods and tools: A review and an outlook , Building and Environment, 161, 106270. https://doi.org/10.1016/j.buildenv.2019.106270Alhamwi, A., Medjroubi, W., Vogt, T. and Agert, C. (2017). GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas. Applied Energy, 191, 1-9. https://doi.org/10.1016/j.apenergy.2017.01.048Chen, Y. and Hong, T. (2018). Impacts of building geometry modelling methods on the simulation results of urban building energy models. Applied Energy, 215, 717-735. https://doi.org/10.1016/j.apenergy.2018.02.073Chen, Y., Hong, T., Luo, X. and Hooper, B. (2019). Development of city buildings dataset for urban building energy modelling. Energy and Buildings, 183, 252-265. https://doi.org/10.1016/j.enbuild.2018.11.008Davila, C.C., Reinhart, C.F., and Bemis, J.L. (2016). Modelling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets. Energy, 117, 237-250. https://doi.org/10.1016/j.energy.2016.10.057Dogan, T. and Reinhart, C. (2017). Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation. Energy and Buildings, 140, 140-153. https://doi.org/10.1016/j.enbuild.2017.01.030EC. (2021). 2030 Climate Target Plan. European Commission. Retrieved June 1, 2021, from https://ec.europa.eu/clima/eu-action/european-green-deal/2030-climate-target-plan_en

	Adamatzky, A, Szaci³owski, K, Konkoli, Z, Werner, LC, Przyczyna, D and Sirakoulis, GC (2019) On Buildings that Compute. A Proposal , Adamatzky, A and Kendon, V (eds), From Astrophysics to Unconventional Computation: Essays Presented to Susan Stepney on the Occasion of her 60th Birthday, Springer International Publishing, Cham, pp. 311-335

	Aldinger L, Bechert S, Wood D, et al. (2019) Design and structural modelling of surface–active timber structures made from curved CLT – Urbach tower, Remstal Gartenschau , Gengnagel C, Baverel O, Burry J, et al. (eds) Impact: design with all senses. Cham: Springer, pp. 419–432

	Alidoost, F., Arefi, H., & Tombari, F. (2019) 2D image-to-3D model: Knowledge-based 3D building reconstruction (3DBR) using single aerial images and convolutional neural networks (CNNs) , Remote Sensing, 11(19), 2219

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