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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	Aalst, W.M.P. van der and K.M. van Hee (2002) Workflow Management: Models, Methods, and Systems , MIT Press, London, UK

	Aalst, W.M.P., and K.M. van Hee (2002) Workflow Management: Models, Methods, and Systems , MIT Press, London

	Aasem E.O. (1993) Practical Simulations of Buildings and Air-Conditioning Systems in the Transient Domain , PhD Thesis ESRU, University of Strathclyde, Glasgow

	Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S (2016) Tensorflow: Large-scale machine learning on heterogeneous distributed systems , OSDI, pp. 265-238

	Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S (2016) Tensorflow: Large-scale machine learning on heterogeneous distributed systems , OSDI, 16, pp. 265-283

	Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., & others. (2016) TensorFlow: A system for Large-Scale machine learning , 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), 265-283

	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. (2016) Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abarbanel HDI, Brown R, Sidorowich JJ, Tsimring LS (1993) The analysis of observed chaotic data in physical systems , Rev Mod Phys 1993, 65: 1331-1392

	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

	AbdelMagid, Khaled S.S. (2004) Color Systems and Architecture- A Computerized model PCM , Conference on Color, Light and Architecture, UACG, Sofia, Bulgaria, (in Bulgarian)

	Abdelmohsen SM (2014) An inquiry into designing in context using generative systems , Int J Architectural Comput 2014; 12(4): 477–494.

	Abdelmohsen, S and Massoud, P (2015) Integrating Responsive and Kinetic Systems in the Design Studio: A Pedagogical Framework , Realtime (eCAADe 33), Vienna, Austria, pp. 71-80

	Abdelmohsen, S and Tarabishy, S (2017) Optimized Design to Robotic Production: Integrating Multipoint Forming and Free Form Material Deposition in the Mass Customization of Double Curved Facades , International Journal of Parallel, Emergent and Distributed Systems (IJPEDS), 32, pp. 180-189

	Abdelmohsen, S, Adriaenssens, S, El Dabaa, R, Gabriele, S, Olivieri, L and Teresi, L (2019) A multi-physics approach for modeling hygroscopic behavior in wood low-teck architectural adaptive systems , Computer-Aided Design, 106, pp. 43-53

	Abdelmohsen, S, Adriaenssens, S, El-Dabaa, R, Gabriele, S, Olivieri, L and Teresi, L (2019) A multiphysics approach for modeling hygroscopic behavior in wood low-tech architectural adaptive systems , Computer-Aided Design, 106, pp. 43-53

	Abdelmohsen, S, Adriaenssens, S, El-Dabaa, R, Gabriele, S, Olivieri, L and Teresi, L (2019) A multi-physics approach for modeling hygroscopic behavior in wood low-tech architectural adaptive systems , Computer-Aided Design, 106, pp. 43-53

	Abdelmohsen, S, Adriaenssens, S, El-Dabaa, R, Gabriele, S, Olivieri, L and Teresi, L (2019) A multi-physics approach for modeling hygroscopic behavior in wood low-tech architectural adaptive systems , Computer-Aided Design, 106, pp. 43-53

	Abdelmohsen, S (2015) An Inquiry into Designing in Context using Generative Systems , International Journal of Architectural Computing Vol 12 N°4 477-494

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