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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	Lee, J. Y., & An, D. W (2023) Utilization of 3D Scan Data: Representation of Korean Wooden Architectural Heritage , Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086932

	Liu, Y., Shi, W., Yu, Y., Peng, L., & Zhang, A. (2023) Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data , ISPRS International Journal of Geo-Information, 12(11), 443

	Mansuri, A., Agkathidis, A., Lombardi, D., & Chen, H. (2023) Rethinking Traditional Indonesian Roof Bamboo Frame Structures By Utilizing Parametric Tools And Automated Fabrication Techniques: A Systematic Review , ASCAAD 2023 - Computation, Culture, and Context, 110-133. HYPERLINK "https://papers.cumincad.org/data/works/att/ascaad2023_007.pdf"https://papers.cumincad.org/data/works/att/ascaad2023_007.pdf

	Networked Public Space (2022) Networked Public Space Enhances Urban Systems through Collective Ownership of Environmental Data , University of Virginia School of Architecture. Accessed July 30, 2023. https://www.arch.virginia.edu/news/networked-public-space-enhances-urban-systems-through-collective-ownership-of-environmental-data

	Stein, I., Jossberger, H., & Gruber, H. (2023) MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model , Journal of Eye Movement Research. 15. 10.16910/jemr.15.3.8

	Sun, Y., Lu, W., & Gu, Z. (2023) Analysis of spatial form and structure of commercial pedestrian blocks based on Isovist and big data , Environment and Planning B: Urban Analytics and City Science, 50(5), 1313-1327)

	Takang, T. M., & Amaechi, A. O. (2023) Considerations for a Planned Democratizing Data Framework for Valid and Trusted Data , J. of Data Analysis and Inf. Proc., 11(3)

	Tang, L., He, J., Peng, W., Huang, H., Chen, C., & Yu, C. (2023) Assessing the visibility of urban greenery using MLS LiDAR data , Landscape and Urban Planning, 232. https://doi.org/10.1016/j.landurbplan.2022.104662

	Upadhyay, A., Dubey, A., Mani Kuriakose, S., & Agarawal, S. (2023) FloorGAN: Generative Network for Automated Floor Layout Generation , Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) (pp. 140-148). https://doi.org/10.1145/3570991.3571057

	Wang, X., Tang, P., & Cai, C. (2023) Traditional Chinese village morphological feature extraction and cluster analysis based on multi-source data and machine learning , 28th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2023 (pp. 179-188). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)

	Wang, X., Tang., and Cai., C., (2023) Traditional Chinese village morphological feature extraction and cluster analysis based on multi-source data and machine learning , Proceedings of the 28th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2023, Volume 1, 179-188

	Xinwei Zhuang, Yi Ju, Allen Yang, and Luisa Caldas (2023) Synthesis and Generation for 3D Architecture Volume with Generative Modeling , International Journal of Architectural Computing, no. AI, Architecture, Accessibility, Data Justice. https://doi.org/10.1177/14780771231168233

	Zhang, Y., Teoh, B. K., Wu, M., Chen, J., & Zhang, L. (2023) Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence , Energy, 262, 125468

	Doyle, S.; Forehand, L.; Senske, N. (2017) Computational Feminism: Searching for Cyborgs , Proceedings of the 2017 Association for Computer Aided Design in Architecture (ACADIA) Conference, 2041 Duff Ave., 232-237. http://papers.cumincad.org/data/works/att/acadia17_232.pdf

	A. Boschetto, L. Bottini, and S. Vatanparast (2023) Powder bed monitoring via digital image analysis in additive manufacturing , Journal of Intelligent Manufacturing: 1-21

	Aamer Nazir, Ozkan Gokcekaya, Kazi Md Masum Billah, Onur Ertugrul, Jingchao Jiang, Jiayu Sun, and Sajjad Hussain (2023) Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D Printing of materials and cellular metamaterials , Materials & Design: 111661

	Abramczuk, K., Bohdanowicz, Z., Muczyñski, B., Skorupska, K. H., & Cnotkowski, D. (2023) Meet me in VR! Can VR space help remote teams connect: A seven-week study with horizon workrooms , International Journal of Human-Computer Studies, 179, p. 103104. Available at: https://doi.org/10.1016/j.ijhcs.2023.103104 (Accessed 5 June 2024)

	Abumohsen, M., Owda, A. Y., & Owda, M. (2023) Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms , Energies, 16(5), Article 2283. https://doi.org/10.3390/en16052283

	ACE Observatory/Observatoire du CAE. (2023) https://aceobservatory , com/P_Digitalisation.aspx?Y=2022&c=Europe&l=EN

	ADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY Cheung, L. H., & Dall'Asta, J. C. (2023) Exploring a Collaborative and Intuitive Framework for Combined Application of AI Art Generation Tools in Architectural Design Process , Bertie MullerBertie Muller (Ed.), Proceedings of the AISB Convention 2023 (pp. 122-130)

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