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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	Wilson, K, Hyland, A and Herem, T (2018) The Maze: A Labyrinthine Compendium , Laurence King Publishing

	Wilson, L, Danforth, J, Davila, CC and Harvey, D (2019) How to Generate a Thousand Master Plans: A Framework for Computational Urban Design , Proceedings of the SimAUD 2018, pp. 113-120

	Y. Y. Tan and T. L. Lee (2018) The flexible textile mesh , Learning, Adapting and Prototyping (CAADRIA) 2018

	Yoon SW, Kim I, Lee KC, et al (2018) The architectural design of storage system for power data management , 2018 Ieee International Conference on Big Data and Smart Computing, Shanghai, China, 15–17 January 2018. New York: Ieee, 2018, pp.736–738.

	Lee, V. (1996) Design by numbers: Architectural order among the Incas , Sixpac Manco Publications, Wilson, Wyoming

	A Bidgoli. and P. Veloso (2018) DeepCloud: The Application of a Data-Driven, Generative Model in Design , ACADIA 18: Recalibration, Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. 176–85

	A. Gandia, S. Parascho, R. Rust, G. Casas, F. Gramazio, and M. Kohler (2019) Towards Automatic Path Planning for Robotically Assembled Spatial Structures , ROBARCH 2018; Robotic Fabricationin Architecture, Art and Design 2018, Cham: Springer

	A. Groenewolt, T. Schwinn, L. Nguyen, and A. Menges (2018) An Interactive Agent-Based Framework for Materialization-Informed Architectural Design , Swarm Intelligence 12 (2): 155–86

	A. M. Salet, T (2018) Design of a 3D printed concrete bridge by testing , Virtual and Physical Prototyping, 13, pp. 222-236

	A. M. Salet, Theo, Y. Ahmeda, Zeeshan, P. Bos, Freek and L. M. Laaglandb, Hans (2018) Design of a 3D printed concrete bridge by testing , Virtual and Physical Prototyping, 13(3), pp. 222-236

	A. Nagabandi, I. Clavera, S. Liu, R.S. Fearing, P. Abbeel, S. Levine, and C. Finn (2018) Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning , ICLR 2019 Conference Paper, arXiv:1803.11347

	A. Paul., D.P. Mukherjee., P. Das., A. Gangopadhyay., A.R. Chintha., & S. Kundu. (2018) Improved Random Forest for Classification , IEEE Transactions on Image Processing, 27 (8). Available at: https://doi.org/1.119/TIP.218.283483.

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

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

	ABAB, . (2018) BIM Process Consistency: Towards a Common Framework for Digital Design, Construction and Operation , Australasian BIM Advisory Board

	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

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

	Abdelhameed, W. (2018) BIM in architecture curriculum: a case study , Architectural Science Review, 61(6), pp. 480-491.

	Abdelmohsen S, Massoud P, El-Dabaa R, et al. (2018) 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

	Abdelmohsen, S, Massoud, P, El-Dabaa, R, Ibrahim, A and Mokbel, T (2018) 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

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