Cumincad : CUMINCAD Papers : 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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61.

Baºarir, Lale, Çiçek, Selen and Koç, Mustafa (2023)

Demystifying the patterns of local knowledge: The implicit relation of local music and vernacular architecture

Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 791–800 https://doi.org/10.52842/conf.ecaade.2023.2.791

62.

Brown, Lachlan, Yip, Michael, Gardner, Nicole, Haeusler, M. Hank, Khean, Nariddh, Zavoleas, Yannis and Ramos, Cristina (2020)

Drawing Recognition - Integrating Machine Learning Systems into Architectural Design Workflows

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 289-298 https://doi.org/10.52842/conf.ecaade.2020.2.289

63.

Carta, Silvio, Turchi, Tommaso and Pintacuda, Luigi (2022)

Measuring Resilient Communities: an Analytical and Predictive Tool

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. 615-624 https://doi.org/10.52842/conf.caadria.2022.1.615

64.

Carta, Silvio; Tommaso Turchi; Luigi Pintacuda; Ljubomir Jankovic (2023)

RECOMM. Measuring resilient communities: An analytical and predictive tool

International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 536–560 https://papers.cumincad.org/cgi-bin/works/Show?ijac202321309

65.

Cesar Rodrigues, Ricardo, Kenzo Imagawa, Marcelo, Rubio Koga, Renan and Bertola Duarte, Rovenir (2021)

Big Data vs Smart Data on the Generation of Floor Plans with Deep Learning

Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 217–228 https://papers.cumincad.org/cgi-bin/works/Show?sigradi2021_114

66.

del Campo, Matias; Carlson, Alexandra; Manninger, Sandra (2020)

3D Graph Convolutional Neural Networks in Architecture Design

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. 688-696. https://doi.org/10.52842/conf.acadia.2020.1.688

67.

Dzieduszyñski, Tomasz (2022)

Machine learning and complex compositional principles in architecture: Application of convolutional neural networks for generation of context-dependent spatial compositions

International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 196–215 https://papers.cumincad.org/cgi-bin/works/Show?ijac202220203

68.

Eisenstadt, Viktor, Langenhan, Christoph and Althoff, Klaus-Dieter (2019)

Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning - An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases

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. 79-84 https://doi.org/10.52842/conf.ecaade.2019.2.079

69.

Huang, Weixin; Zheng, Hao (2018)

Architectural Drawings Recognition and Generation through Machine Learning

ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 156-165 https://doi.org/10.52842/conf.acadia.2018.156

70.

Jia, Muxin, Zhang, Kaiheng and Narahara, Taro (2024)

Characterizing Residential Building Patterns in High-Density Cities Using Graph Convolutional Neural Networks

Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 39–48 https://doi.org/10.52842/conf.caadria.2024.2.039

71.

Kapon, Gal; Blonder, Arielle; Austern, Guy (2024)

A Machine Learning Approach to The Inverse Problem of Self-Morphing Composites

Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 293–302 https://doi.org/10.52842/conf.ecaade.2024.1.293

72.

Kim, Jin Sung, Song, Jae Yeol and Lee, Jin Kook (2018)

Approach to the Extraction of Design Features of Interior Design Elements Using Image Recognition Technique

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. 287-296 https://doi.org/10.52842/conf.caadria.2018.2.287

73.

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

74.

Saunders, Andrew; Studebaker, Riley; Moriarty, Claire Eileen (2022)

Deep Relief

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. 652-661. https://papers.cumincad.org/cgi-bin/works/Show?acadia22_652

75.

Sebestyen, Adam and Tyc, Jakub (2020)

Machine Learning Methods in Energy Simulations for Architects and Designers - The implementation of supervised machine learning in the context of the computational design process

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. 613-622 https://doi.org/10.52842/conf.ecaade.2020.1.613

76.

Uzun, Can and Çolako?lu, Meryem Birgül (2019)

Architectural Drawing Recognition - A case study for training the learning algorithm with architectural plan and section drawing images

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. 29-34 https://doi.org/10.52842/conf.ecaade.2019.2.029

77.

Wang, Yuyang; Li, Xingwu (2024)

The AI’s Cognition of the Cultural Characteristics Underlying Chinese Courtyard Dwelling: A visual perception-based approach for Siheyuan plan classification using machine learning and convolutional neural networks

Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 643–652 https://doi.org/10.52842/conf.ecaade.2024.1.643

78.

Yao, Chaowen; Fricker, Pia (2024)

Neural Network-Driven 3D Generation of Urban Trees: Advancing carbon mitigation simulation through detailed tree modeling from point cloud data

Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 605–614 https://doi.org/10.52842/conf.ecaade.2024.1.605

79.

Yilmaz, Emirkan Burak; Tan Bayram, Funda; Balcan, Cem; Arslantürk, Esra; Arslan Ercan, ªeyda; Akgül, Yusuf Sinan (2024)

Viewing History through the Lens of Artificial Intelligence: Classification of late Ottoman and early Republican period buildings in Türkiye with Convolutional Neural Network (CNN)

Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 565–574 https://doi.org/10.52842/conf.ecaade.2024.1.565

80.

Yuqian Li and Weiguo Xu (2021)

Using CycleGAN to Achieve the Sketch Recognition Process of Sketch-Based Modeling

Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021) https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_3

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