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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Hits 14341 to 14349 of 14349

# Author Citation Select
14341. Newton, David, Piatkowski, Dan, Marshall, Wesley and Tendle, Atharva (2020) Deep Learning Methods for Urban Analysis and Health Estimation of Obesity

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 297-304 https://doi.org/10.52842/conf.ecaade.2020.1.297
14342. Newton, David (2018) Accommodating Change and Open-Ended Search in Design Optimization

T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 175-184 https://doi.org/10.52842/conf.caadria.2018.2.175
14343. Newton, David (2018) Multi-Objective Qualitative Optimization (MOQO) in Architectural Design

Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 187-196 https://doi.org/10.52842/conf.ecaade.2018.1.187
14344. Newton, David (2019) Deep Generative Learning for the Generation and Analysis of Architectural Plans with Small Datasets

Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 21-28 https://doi.org/10.52842/conf.ecaade.2019.2.021
14345. Newton, David (2020) Anxious Landscapes

ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 130-137. https://doi.org/10.52842/conf.acadia.2020.2.130
14346. Newton, David (2021) Visualizing Deep Learning Models for Urban Health Analysis

Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 527-536 https://doi.org/10.52842/conf.ecaade.2021.1.527
14347. NG, E., CHAN, T.Y., LEUNG, R. and PANG, P. (2003) A Daylight Design and Regulatory Method for High-Density Cities Using Computational Lighting Simulations

Digital Design - Research and Practice [Proceedings of the 10th International Conference on Computer Aided Architectural Design Futures / ISBN 1-4020-1210-1] Tainan (Taiwan) 13–15 October 2003, pp. 339-350 https://papers.cumincad.org/cgi-bin/works/Show?cf2003_m_092
14348. Ng, E., Lam, K.P., Wu, W., Nagakura T. (1999) The application of computer simulation techniques to the design and preservation of a national monument

IBPSA, Kyoto, vol 2, 555-562 https://papers.cumincad.org/cgi-bin/works/Show?2dc4
14349. Ng, E., Lam, K.P., Wu., W. and Nagakura, T (1996) Advanced lighting Visualisation in Architectural Design

Research Report RP960019, National University of Singapore, Singapore https://papers.cumincad.org/cgi-bin/works/Show?a447

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