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 A. Thoma, A. Adel, M. Helmreich, T. Wehrle, F. Gramazio, and M. Kohler (2019) Find in CUMINCAD Robotic Fabrication of Bespoke Timber Frame Modules , Robotic Fabrication in Architecture, Art and Design (ROBARCH) 2018. Cham: Springer. 447–458

33%; open A.B. Hernández, R.D. Brumbaugh, P. Frederick, et al (2018) Find in CUMINCAD Restoring the eastern oyster: how much progress has been made in 53 years? , Frontiers in Ecology and the Environment 16 (8): 463–471

33%; open ABAB, . (2018) Find in CUMINCAD BIM Process Consistency: Towards a Common Framework for Digital Design, Construction and Operation , Australasian BIM Advisory Board

33%; open Abbasabadi, N. and Ashayeri, M. (2019) Find in CUMINCAD 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

33%; open Abdalla MM, Oliveira LGL, Azevedo CEF, et al (2018) Find in CUMINCAD Quality in qualitative organizational research: types of triangulation as a methodological alternative , RAEP 2018; 19(1): 66–98.

33%; open Abdelmohsen S, Massoud P, El-Dabaa R, et al. (2018) Find in CUMINCAD A computational method for tracking the hygroscopic motion of wood to develop adaptive architectural skins , Computing for a Better Tomorrow - Proceedings of the 36th ECAADe Conference - Volume 2 (eds A Kepczynska-Walczak and S Bialkowski), pp. 253–62. Lodz, Poland: Lodz University of Technology

33%; open Abdelmohsen, S, Massoud, P, El-Dabaa, R, Ibrahim, A and Mokbel, T (2018) Find in CUMINCAD A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins , Proceedings of eCAADe 2018: 36th Annual Conference on Education and Research in Computer Aided Architectural Design in Europe, Lodz, pp. 1-9

33%; open Abdelmohsen, S, Massoud, P, El-Dabaa, R, Ibrahim, A and Mokbel, T (2018) Find in CUMINCAD A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins , Proceedings of eCAADe 2018, p. 11

33%; open Abdelmohsen, S., Adriaenssens, S., El-Dabaa, R., Gabriele, S., Olivieri, L., Teresi, L. (2019) Find in CUMINCAD A multi-physics approach for modeling hygroscopic behavior in wood low-tech architectural adaptive systems , Computer-Aided Design 106, 43–53. https://doi.org/10.1016/j.cad.2018.07.005

33%; open Abdelmohsen, S., Massoud, P., El-Dabaa, R., Ibrahim, A. & Mokbel, T. (2018) Find in CUMINCAD A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins , Proceedings of the 6th Annual Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe)

33%; open Abdelmohsen, S., Massoud, P., El-Dabaa, R., Ibrahim, A., & Mokbel , T. (2018) Find in CUMINCAD A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins , Material Studies -Volume 2. Lodz: eCAADe 36

33%; open Abdelmohsen, S., Massoud, P., El-Dabaa, R., Ibrahim, A., Mokbel, T. (2018) Find in CUMINCAD A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins , ECAADe 2018: 6th Annual Conference on Education and Research in Computer Aided Architectural Designin Europe. Lodz, Poland, pp. 1–9

33%; open Abdulmawla A, Schneider S, Bielik M, et al. (2018) Find in CUMINCAD Integrated data analysis for parametric design environment-mineR: a grasshopper plugin based on R , Proceedings of the 36th eCAADe conference (eds Kepczynska-Walczak A and Bialkowski S), Lodz, 17–21 September 2018, pp. 319–326. Lodz: Lodz University of Technology

33%; open Abdulmawla, A, Schneider, S, Bielik, M and Koenig, R (2018) Find in CUMINCAD Integrated Data Analysis for Parametric Design Environment-mineR: a Grasshopper plugin based on R , eCAADe 2018

33%; open Abdulmawla, A., Schneider, S. and Bielik, M. (2018) Find in CUMINCAD Integrated Data Analysis for Parametric Design Environment , Proceedings of eCAADe 2018, Lodz (pp. 319- 326)

33%; open Abdulmawla, AA, Schneider, SS and Bielik, MB (2018) Find in CUMINCAD Integrated Data Analysis for Parametric Design Environment , Proceedings of eCAADe 2018, Lodz, pp. 319-326

33%; open Abraham, A. (2018) Find in CUMINCAD The neuroscience of creativity , Cambridge University Press

33%; open Achillias G, PPTV (2018) Find in CUMINCAD Using Big Data to Design User-Centric Museums , Information Technologies in Cultural Heritage, 2, pp. 233-242

33%; open Achlioptas P, Diamanti O, Mitliagkas I, et al (2018) Find in CUMINCAD Learning representations and generative models for 3D point clouds , G Jennifer, Dy and A Krause (eds) Proceedings of the 35th international conference on machine learning, ICML 2018, Stockholmsmassan, STH, Sweden, 10-15 July 2018, 80, 40 ¨ –49

33%; open Achlioptas P, Diamanti O, Mitliagkas Iet al (2018) Find in CUMINCAD Learning representations and generative models for 3D point clouds , International conference on machine learning. https://proceedings.mlr.press/: PMLR, 2018, pp. 40–49.

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