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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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1. Xiao Liu & Yupeng Wu (2022) A review of advanced architectural glazing technologies for solar energy conversion and intelligent daylighting control

Architectural Intelligence Journal https://doi.org/https://doi.org/10.1007/s44223-022-00009-6
2. Xiao, Jun; Liu, Yubo; Deng, Qiaoming (2022) High-Density Building Form Generation Considering Daylight Performance

ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 524-535. https://papers.cumincad.org/cgi-bin/works/Show?acadia22_524
3. Dong, Zhiyong, Lin, Jinru, Wang, Siqi, Xu, Yijia, Xu, Jiaqi and Liu, Xiao (2022) Where Will Romance Occur, A New Prediction Method of Urban Love Map through Deep Learning

Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 213-222 https://doi.org/10.52842/conf.caadria.2022.1.213
4. Xiao, Yahan, Hotta, Akito, Fuji, Takaaki, Kikuzato, Naoto and Hotta, Kensuke (2022) Urban Scale 3 Dimensional CFD Approximation Based on Deep Learning A Quick Air Flow Prediction for Volume Study in Architecture Early Design Stage

Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 303-312 https://doi.org/10.52842/conf.caadria.2022.1.303
5. Zidong Liu, Yan Li, and Xiao Xiao (2022) Predicting the Vitality of Stores Along the Street Based on Business Type Sequence via Recurrent Neural Network

Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_29

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