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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	Kitchin, R (2013) Big data and human geography: Opportunities, challenges and risks. , Dialogues in Human Geography, November 2013(3), pp. 262-267

	Li, F., She, L., & Wang, H. (2020) Standardization and Diversification of Precast Concrete Facade Panel , IOP Conference Series: Earth and Environmental Science, 455, 012108. https://doi.org/10.1088/1755-1315/455/1/012108Love, L., Post, B., Roschli, A., Chesser, P., & Hun, D. E. (2019). Feasibility of Using BAAM for Mold Inserts for the Precast Concrete Industry. https://doi.org/10.2172/1606893Martins, P., Fonseca de Campos, P., Nunes, S., & Sousa, J. P. (2019). The Tectonics of Digitally Fabricated Concrete. A Case for Robotic Hot Wire Cutting. In RILEM Bookseries (pp. 311–322). https://doi.org/10.1007/978-3-319-99519-9_29Naboni, R., & Breseghello, L. (2018). Fused Deposition Modelling Formworks for Complex Concrete Constructions. SIGraDi 2018, XXII Congress of the Iberoamerican Society of Digital Graphics, 166–173. https://doi.org/10.5151/sigradi2018-1648Nahmens, A., & Mullens, M. (2011). Lean Homebuilding: Lessons Learned from a Precast Concrete Panelizer. Journal of Architectural Engineering, 17(4), 155–161. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000037Pan, M., & Pan, W. (2019). Determinants of Adoption of Robotics in Precast Concrete Production for Buildings. Journal of Management in Engineering, 35(5), 5019007. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000706Portland Cement Association. (n.d.). Ultra-High Performance Concrete. Retrieved August 25, 2020, from https://www.cement.org/learn/concrete-technology/concrete-design-production/ultra-high-performance-concreteRockite Cement. (2017). Specifications: Rockite Cement. [Data set]. from https://www.sculpt.com/2017/Tech/MsdsTechSheets/TechSheets/TECH_SHEET_rockite.pdfStephens, S. (2013). Sheared and shirred, surfaces and solids: Thom Mayne and his firm, Morphosis, turn a corner for the Perot Museum of Nature and Science in Dallas. Architectural Record, 201(1), 78–85

	Lin, LJR, Hu, HZZ and Zhang, ZJP (2013) BIM Oriented Intelligent Data Mining and Representation , Proceedings of 30th CIB W78 International Conference on Applications of IT in the AEC Industry.

	Liu, F, Janssens, D, Wets, G and Cools, M (2013) Annotating mobile phone location data with activity purposes using machine learning algorithms , Expert Systems with Applications: An International Journal, 40:9, pp 3299-3311

	Ma, Z, Wei, Z and Zhang, X (2013) Semi-automatic and specification-compliant cost estimation for tendering of building projects based on IFC data of design model , Automation in Construction, 30, pp. 126-135

	Mark, B (2013) Big Data Challenges for Geoinformatics: An Overview , Geoinformatics & Geostatistics, 1(1), pp. 1-2

	Marris, Emma (2013) Fly, and Bring Me Data: Unmanned Aerial Vehicles Are Poised to Take Off as Popular Tools for Scientific Research , Nature 498 (7453): 156–159

	McAfee, A (eds) (2013) Big Data's Biggest Challenge? Convincing People NOT to Trust Their Judgment , Harvard Business Review

	McMahan, H. Brendan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, and Jeremy Kubica (2013) Ad Click Prediction: A View From the Trenches , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, edited by Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, and Ramasamy Uthurusamy. New York: ACM. 1222–1230. http://doi.org/10.1145/2487575.2488200

	Meagher, M, Park, A and Nembrini, J (2013) Analysing The Performance-Based Computational Design Process: A Data Study , Rethinking Prototyping: Proceedings of 4th Design Modelling Symposium, pp. 359-375

	Michael T Goodrich, RT (2013) Data Structures and Algorithms in Python , Wiley; 1 edition

	Mill, T and Liias, R (2013) Combined 3D building surveying techniques-terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes , Journal of Civil Engineering and Management, 19, pp S23-S32

	Nabian, N., D. Offenhuber, A. Vanky and C. Ratti (2013) Data Dimension: Accessing Urban Data and Making It Accessible , Proceedings of the ICE-Urban Design and Planning 166(1): 60-75

	Namdeo, A. Y. S, Tiwary, A and Dziurla, R (2013) Spatial planning of public charging points using multi-dimensional analysis of early adopters of electric vehicles for a city region , Technological Forecasting and Social Change, 32(doi:10.1016/j.techfore.2013.08.032), p. 10

	Neufeld, E., D. Szczerba, N. Chavannes, and N. Kuster. (2013) A novel medical image data-based multi-physics simulation platform for computational life sciences , Interface Focus 3: 20120058

	Oesau, S, Lafarge, F and Alliez, P (2013) Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut , Eurographics Workshop on Urban Data Modelling and Visualisation

	Ordó?ez Medina, A. & Erath, A. (2013) Estimating dynamic workplace capacities using public transport smart card data and a household travel survey , Presented at Transportation Research Board (TRB) 92nd Annual Meeting. Washington, DC

	Ordóñez Medina, A. & A. Erath (2013) Estimating Dynamic Workplace Capacities using Public Transport Smart Card Data and a Household Travel Survey , Transportation Research Board (TRB) 92nd Annual Meeting. Washington, D. C

	Orts-Escolano, S., Morell, V., Garcia-Rodriguez, J. and Cazorla, M. (2013) Point cloud data filtering and downsampling using growing neural gas , Neural Networks (IJCNN), The 2013 International Joint Conference on, pp. 1-8

	Pang, Xiufeng, Tianzhen Hong, and Mary Ann Piette (2013) Improving Building Performance at Urban Scale with a Framework for Real-time Data Sharing , Lawrence Berkeley National Laboratory LBNL-6303E (June)

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