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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	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. 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

	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. Zeng, S. Song, J. Lee, A. Rodriguez, and T. Funkhouser (2019) TossingBot: Learning to Throw Arbitrary Objects with Residual Physics , Proceedings of Robotics: Science and Systems (RSS)

	Aagaard, Anders Kruse, and Niels Martin Larsen (2019) Exploring natural wood: A workflow for using non-uniform sawlogs in digital design and fabrication , ACADIA 19: Ubiquity and Autonomy Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture, ed. Kory Bieg, Clay Odom. Austin, Texas, USA: ACADIA

	Aakash, A., Nasir, M. A., Khalid, M. Y., Nauman, S., Shaker K., Khushnood S., Altaf K., Zeeshan M., & Hussain, A. (2019) Experimental and Numerical Characterization of Mechanical Properties of carbon/jute Fabric Reinforced Epoxy Hybrid Composites , Journal of Mechanical Science and Technology 33 (9): 4217-4226

	Abbas, Moustafa, Moustafa Elhamshary, Hamada Rizk, Marwan Torki, and Moustaf Youssef (2019) WiDeep: WiFi-Based Accurate and Robust Indoor Localization System Using Deep Learning , Proceedings of IEEE International Conference on Pervasive Computing and Communications, 1–10. Kyoto, Japan

	Abbasabadi, N. & Ashayeri, M. (2019) Urban energy use modeling methods and tools: A review and an outlook , Building and Environment, 161, 106270

	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

	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, Adriaenssens, S, Gabriele, S, Olivieri, L and El-Dabaa, R (2019) Hygroscapes: Innovative Shape Shifting FaÃ§ades , Bianconi, F and Filippucci, M (eds), Digital Wood Design, Springer, Cham, pp. 675-702

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

	Abdelmohsen, S., Adriaenssens, S., El-Dabaa, R., Gabriele, S., Olivieri, L., Teresi, L. (2019) 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

	Abdelmohsen, S., Adriaenssens, S., Gabriele, S., Olivieri,L., El-Dabaa, R. (2019) Hygroscapes: Innovative Shape Shifting Façades , Bianconi, F., Filippucci, M. (Eds.), Digital Wood Design : Innovative Techniques of Representation in Architectural Design., Lecture Notes in Civil Engineering. Springer, Switzerland, pp. 675–702. https://doi.org/10.1007/978-3-030-03676-8_26

	Abdelmohsen, S., Massoud, P., El-Dabaa, R., Ibrahim, A., Mokbel, T. (2019) The Effect of Hygroscopic Design Parameters on the Programmability of Laminated Wood Composites for Adaptive Façades , Lee, J.-H. (Ed.), Computer-Aided Architectural Design. “Hello, Culture.” Springer Singapore, Singapore, pp. 372–383. https://doi.org/10.1007/978-981-13-8410-3_26

	Abdelmohsen, Sherif Morad, Khaled Aly Tarabieh, Islam Ibrahim Salem, Yomna Saad El-Ghazi, Rana Bahaa El-Dabaa, and Asmaa Gamal Hassan (2019) Coupling Parametric Design and Robotic Assembly Simulation to Generate Thermally Responsive Brick Walls , Proceedings of the 16th IBPSA Conference, 3006–3013. Rome, Italy. https://doi.org/10.26868/25222708.2019.210904

	Abdelrahman MM and Toutou AMY (2019) [ANT]: A machine learning approach for building performance simulation: methods and development , Acad Res Community Publ 2019; 3: 205–213.

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