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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	Reinhart, C (2019) Daylight performance predictions , Hensen, JLM and Lamberts, R (eds), Building performance simulation for design and operation, Routledge, pp. 221-269

	Attia, S., Bilir, S., Safy, T., Struck, C., Loonen, R. & Goia, F. (2018) Current trends and future challenges in the performance assessment of adaptive faCade systems , Energy and Buildings, 179, 165–182. https://doi.org/10.1016/j.enbuild.2018.09.017Böke, J., Knaack, U., & Hemmerling, M. (2019). State-of-the-art of intelligent building envelopes in the context of intelligent technical systems. Intelligent Buildings International, 11(1), 27-45.https://doi.org/10.1080/17508975.2018.1447437Carlucci, S., Cattarin, G., Causone, F., & Pagliano, L. (2015). Multi-objective optimization ofa nearly zero-energy building based on thermal and visual discomfort minimizationusing a non-dominated sorting genetic algorithm (NSGA-II). Energy and Buildings,104, 378–394. https://doi.org/10.1016/j.enbuild.2015.06.064Hosseini, S. M., Mohammadi, M., & Guerra-santin, O. (2019). Interactive kinetic faCade: Improving visual comfort based on dynamic daylight and occupant’s positions by 2D and 3D shape changes. Building and Environment, 165, 106396. https://doi.org/10.1016/j.buildenv.2019.106396

	De Luca, F. (2019) Environmental performance-driven urban design: Parametric design method for the integration of daylight and urban comfort analysis in cold climates , Hello, Culture: Proceedings of the 18th CAADFutures international conference, Daejeon, pp. 15-31

	De Luca, F. (2019) Environmental Performance-Driven Urban Design: Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates , Proceedings of 18th International Conference, CAAD Futures 2019, KAIST, Daejeon, Korea, 26-28 June 2019, Communications in Computer and Information Science CCIS, v. 1028, pp. 15-31 https://doi.org/10.1007/978-981-13-8410-3_2

	Freewan, Ahmeda.Y., And Jacklinea. Al Dalala. (2020) Assessment of Daylight Performance of Advanced Daylighting Strategies in Large University Classrooms; Case Study Classrooms at JUST , Alexandria Engineering Journal 59(2): 791–802. https://doi.org/10.1016/j.aej.2019.12.049

	Lorenz, C.-L., Spaeth, A., Bleil de Souza, C. & Packianather, M. (2019) Machine Learning in Design Exploration: An Investigation of the Sensitivities of ANN-based Daylight Predictions , CAAD Futures 2019, Daejeon

	Shahbazi, Y, Heydari, M and Haghparast, F (2019) An early-stage design optimization for office buildings' façade providing high-energy performance and daylight , Indoor and Built Environment, 28(10), pp. 1350-1367

	Shahbazi, Y, Heydari, M and Haghparast, F (2019) An early-stage design optimization for office buildings' façade providing high-energy performance and daylight , Indoor and Built Environment, -, pp. 1-18

	Shi, X., Abel, T. & Wang, L. (2020) Influence of two motion types on solar transmittanceand daylight performance of dynamic faCades , Solar Energy, 201(March), 561–580.https://doi.org/10.1016/j.solener.2020.03.017Tabadkani, Amir, et al. “Integrated Parametric Design of Adaptive Facades for User’s Visual Comfort.” Automation in Construction,106, 102857. doi:10.1016/j.autcon.2019.102857

	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.

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

	Ayoub M (2019) 100 years of daylighting: a chronological review of daylight prediction and calculation methods , SolEnergy 2019; 194: 360–390

	Ayoub, M. (2019) 100 Years of daylighting: A chronological review of daylight prediction and calculation methods , Solar Energy, 194, (pp 360-390). https://doi.org/10.1016/j.solener.2019.10.072

	Bhömer T, Hai-Ning M, Difeng Yu L, et al. (2019) Designing predictive tools for personalized functionalities in knitted performance wear , Temes de Disseny; 35: 42–75

	Brady Peters, Nicholas Hoban, Jay Yu, and Ziju Xian (2019) Improving Meeting Room Acoustic Performance through Customized Sound Scattering Surfaces , Proceedings of the International Symposium onRoom Acoustics, ISRA 2019. Amsterdam, Netherlands. 213–225

	Brown NC and Mueller CT (2019) Design variable analysis and generation for performance-based parametric modeling in architecture , Int J Archit Comput 2019; 17: 36–52

	Brown NC and Mueller CT (2019) Design variable analysis and generation for performance-based parametric modeling in architecture , Int J Architectural Comput 2019; 17(1): 36–52

	Brown NC and Mueller CT (2019) Design variable analysis and generation for performance-based parametric modeling in architecture , Int J Architectural Comput 2019; 17: 36–52. 798 International Journal of Architectural Computing 20(4)

	Brown NC and Mueller CT (2019) Design variable analysis and generation for performance-based parametric modeling in architecture , Int J Archit Comput 2019; 17: 36–52.

	Brown NC and Mueller CT. (2019) Design variable analysis and generation for performance-based parametric modeling in architecture. , Int J Archit Comput; 17: 36–52.

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