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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20%; open Austin, Langshaw John (1962) Find in CUMINCAD How to do things with words , Boston: Harvard University Press

20%; open Austin, S, Baldwin, A and Newton, A (1994) Find in CUMINCAD Manipulating the flow of design information to improve the programming of building design , Construction Management and Economics, 12(5), pp. 445-455

20%; open Austin, S. And Soetanto, R. (2010) Find in CUMINCAD The use of ACT-UK Virtual Reality Simulation Centre to enhance the learning experience of undergraduate building students , engineering education, 5(1), 2-10

20%; open Austroads (2021) Find in CUMINCAD Guide to Road Design , ISBN 978-1-922382-48-, Austroads Ltd

20%; open Author et al (2019) Find in CUMINCAD Understanding the Occupant Behaviours in Islamic Homes to Close the Gap in Building Performance Simulation: A Case Study of Houses in Riyadh , IBPSA2019

20%; open Avent, R. (2011) Find in CUMINCAD One Path to better Jobs: More Density in Cities , The Gated City

20%; open Avgerinou and Winter (1999) Find in CUMINCAD Considering BEATL’s evaluation design: A multi-dimensional case study , Appendix II of Paper submitted for publication to SEDA, Proc. SEDA Conference 14 th -16 th April 1999

20%; open Avineri E. (2003) Find in CUMINCAD A Cumulative Prospect Theory Approach To Travel Behaviour Modelling: Waiting Time Paradox Revisited , Paper presented at the EC-Workshop Behavioural responses to ITS, Eindhoven, The Netherlands, 2003

20%; open Aviv, D and Teitelbaum, E (2017) Find in CUMINCAD Thermally Informed Bending: Relating Curvature to Heat Generation Through Infrared Sensing , Humanizing Digital Reality, Singapore, pp. 362-371

20%; open Ayagen, Z. and Fleming, U. (1998) Find in CUMINCAD Classification of Precedents: A Hybrid Approach to Indexing and Retreiving Design Cases in SEED , CAADRIA’98 Proceedings of the Third Conference on Computer Aided Architectural Design Research in Asia, pp. 435-444

20%; open Ayan, Ö (2009) Find in CUMINCAD Cardboard in Architectural Technology and Structural Engineering: A Conceptual Approach to Cardboard Buildings in Architecture , Ph.D. Thesis, ETH

20%; open Ayata T, Çam E and Yildiz O (2007) Find in CUMINCAD Adaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkey , Energy Convers Management 2007; 48(5): 1472–1479.

20%; open Aygen, Z. and Flemming, U. (1998) Find in CUMINCAD Classification of Precedents - A Hybrid Approach to Indexing and Retrieving Design Cases in SEED (a Software Environment for the Early Phases of Building Design) , CAADRIA ‘98, Proceedings of The Third Conference on Computer Aided Architectural Design Research in Asia, Osaka (Japan) 22-24 April 1998, pp. 435-444

20%; open Aygen, Z. and Flemming, U. (1998) Find in CUMINCAD Classification of Precedents - A Hybrid Approach to Indexing and Retrieving Design Cases in SEED (a Software Environment for the Early Phases of Building Design) , CAADRIA ‘98, Proceedings of The Third Conference on Computer Aided Architectural Design Research in Asia, Osaka (Japan) 22-24 April 1998, pp. 435-444

20%; open Ayoosu, M.I. et al. (2021) Find in CUMINCAD Daylighting Evaluation and Optimisation of Window to Wall Ratio for Lecture Theatre in the Tropical Climate , Journal of Daylighting, 8(1), pp. 20-35. Available at: https://doi.org/10.15627/jd.2021.2

20%; open Ayoub M (2019) Find in CUMINCAD A multivariate regression to predict daylighting and energy consumption of residential buildings within hybrid settlements in hot-desert climates , Indoor Built Environ 2019; 28: 848–866

20%; open Ayoub M (2020) Find in CUMINCAD A review on machine learning algorithms to predict daylighting inside buildings , Sol Energy 2020; 202:249–275

20%; open Ayoub M (2021) Find in CUMINCAD Self-organizing profiles to characterize representative temporal settings for daylight simulations , SolEnergy 2021; 214: 248–267

20%; open Ayoub, M. (2019) Find in CUMINCAD A multivariate regression to predict daylighting and energy consumption of residential buildings within hybrid settlements in hot-desert climates , Indoor and built environment, 28(6), 848-866. https://doi.org/10.1177/1420326X18798164

20%; open Ayoub, M. (2020) Find in CUMINCAD A review on machine learning algorithms to predict daylighting inside buildings , Solar Energy, 202, 249-275. https://doi.org/10.1016/j.solener.2020.03.104Bitmap+ (2022). Available at: https://www.food4rhino.com/en/app/bitmap?lang=en (Accessed: 1 Aril 2022)

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