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

PDF papers
References

Hits 61 to 80 of 4151

Reformat results as: short short into frame detailed detailed into frame

Details	Citation	Select
	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

	Abarca-Gómez, L. et al. (2017) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults , The Lancet, 390(10113), pp. 2627 - 2642 https://doi.org/10.1016/S0140-6736(17)32129-3

	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

	Abdelhalim, I. (2016) Narratives of the built and un built of AUC, new campus , community design collaborative, P.15

	Abdelkefi, A (2016) Aeroelastic energy harvesting: A review , International Journal of Engineering Science, 100, pp. 112-135

	Abdelmohsen S, Massoud P and Elshafei A. (2016) Using tensegrity and folding to generate soft responsive architectural skins , Complexity and simplicity, proceedings of the 34th international conference on education and research in computer aided architectural design in Europe, Oulu, Finland, pp. 529–536. Oulu: eCAADe and Oulu School of Architecture

	Abdelmohsen, S, Massoud, P and Elshafei, A (2016) Using Tensegrity and Folding to Generate Soft Responsive Architectural Skins , Complexity & Simplicity - Proceedings of the 34th eCAADe Conference, Oulu, Finland, pp. 529-536

	Abdelmohsen, S., Massoud, P. & Elshafei, A. (2016) Using Tensegrity and Folding to Generate Soft Responsive Architectural Skins , Proceedings of the 34th eCAADe Conference, University of Oulu, Oulu, Finland, 22-26 August (pp. 529-536)

	Abdelmohsen, S.; Masud, P.; Elshafei, A. (2016) Using Tensegrity and Folding to Generate Soft Responsive Architectural Skins , eCAADe. (ecaade2016_210)

	AbdulRaheem, O. B., & Abdulwahab Rayis, O. (2016) Design of Generative Model for the Language of Traditional Suakin Using Parametric Shape Grammar , International Journal of Computer-Aided Technologies, 3(2/3), 01–18. https://doi.org/10.5121/ijcax.2016.3301

	Abe, H, et al. (2016) Possibility of applying deep learning to the evaluation of street scape , Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 85-90

	Abhang, P. A., Gawali, B. W., & Mehrotra, S. C. (2016) Introduction to EEG-and speech-based emotion recognition , Academic Press

	Acar, I., & Butt, S. E. (2016) Modeling nurse-patient assignments considering patient acuity and travel distance metrics , Journal of Biomedical Informatics, 64, 192–206

	Adams, RS, Forin, T, Chua, M and Radcliffe, D (2016) Characterizing the work of coaching during design reviews , Design Studies, 45, pp. 30-67

	Adams, T. (2016) Sound Material A compendium of Sounds Absorbing Materials for Architecture and Design , Frame Publishers, Amsterdam

	Adamu, Z. A., & Thorpe, T. (2016) How universities are teaching BIM: a review and case study from the UK , Journal of Information Technology in Construction (ITcon), v. 21, págs. p. 119-139

	Addis B (2016) In Search of Some Principles of Bio-mimetics in Structural Engineering , Biomimetic Research for Architecture and Building Construction Biological Design and Integrative StructuresEditors: Knippers J, Nickel KG, Speck T, Switzerland, Springer Cap 5 pp 85-95

	Aditra, R., & Widyowijatnoko, A. (2016) Combination of mass customisation and conventional construction. A case study of geodesic bamboo dome. , Chien, S. Choo, S. Schnabel, M. A. Nakapan, W. Kim, M. J. Roudavski, S. (Eds.), Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA (pp. 777-786). Hong Kong

	Aejmelaeus-Lindstrom, P, Willmann, J, Tibbits, S, Gramazio, F and Kohler, K (2016) Jammed architectural structures: towards large-scale reversible construction , GRANULAR MATTER, 18(2), p. 28

For more results click below: