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

PDF papers
References

Hits 41 to 60 of 7725

Details Citation Select
40%; open Calvano, M., Casale, A., Ippoliti, E., Guadagnoli, F. (2018) Find in CUMINCAD RESPONSIVE URBAN MODELS BY PROCESSING SETS OF HETEROGENEOUS DATA , ISPRS -International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII–2, 193–200. https://doi.org/10.5194/isprs-archives-XLII-2-193-2018

40%; open Carpo, M (2018) Find in CUMINCAD Post-Digital "Quitters": Why the Shift Toward Collage Is Worrying , Metropolis Magazine, March 26 2018, pp. http://www.metropolismag.com/architecture/post-digital-collage/

40%; open Carpo, M. (2018) Find in CUMINCAD Big data and the end of history , International Journal for Digital Art History, 3 (July), 21-35. https://doi.org/10.11588/dah.2018.3.49913Cook, P. (1970). Experimental Architecture. Universe Books

40%; open Chang M-C, Bus P, Tartar A, et al (2018) Find in CUMINCAD Big-data informed citizen participatory Urban identity design , Proceedings of ¡ the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19–21 September 2018, 2018.

40%; open Crawford, K. & Joler, V. (2018) Find in CUMINCAD Anatomy of an AI System , The Amazon Echo as An Anatomical Map of Human Labor, Data and Planetary Resources. Now Institute and Share Lab. Retrieved November 23, 2021, from https://anatomyof.ai/

40%; open D'Silva, K, Noulas, A, Musolesi, M, Mascolo, C and Sklar, M (2018) Find in CUMINCAD Predicting the temporal activity patterns of new venues , EPJ Data Science, 7(13), pp. 1-17

40%; open Del Signore, M., Riether, G. (2018) Find in CUMINCAD Urban Machines. Public Space in a Digital Culture , Trento: LISt Lab

40%; open Du, J, Zou, Z, Shi, Y and Zhao, D (2018) Find in CUMINCAD Zero latency: Real-time synchronization of BIM data in virtual reality for collaborative decision-making , Automation in Construction, 85, pp. 51-64

40%; open Du, J, Zou, Z, Shi, Y and Zhao, D (2018) Find in CUMINCAD Zero latency: Real-time synchronization of BIM data in virtual reality for collaborative decision-making , Automation in Construction, 85, pp. 51-64

40%; open Du, J, Zou, Z, Shi, Y and Zhao, D (2018) Find in CUMINCAD Zero latency: Real-time synchronization of BIM data in virtual reality for collaborative decision-making , Automation in Construction, 85(October 2017), pp. 51-64

40%; open Du, J, Zou, Z, Shi, Y and Zhau, D (2018) Find in CUMINCAD Zero Latency: Real-Time Synchronization of BIM Data in Virtual Reality for Collaborative Decision-Making , Automation in Construction, 85, pp. 51-64

40%; open Du, J., Zou, Z., Shi, Y. & Zhao, D. (2018) Find in CUMINCAD Zero latency: Real-time synchronization of BIM data in virtual reality for collaborative decision-making , Automation in Construction, 85, ((pp. 51-64)

40%; open Du, J., Zou, Z., Shi, Y., & Zhao, D. (2018) Find in CUMINCAD Zero Latency: Real-time Synchronization of Bim Data in Virtual Reality for Collaborative Decision-making , Automation in Construction, 85, 51-64, Available at: https://doi.org/1.116/j.autcon.217.1.9.

40%; open Eckman DJ and Henderson SG. (2018) Find in CUMINCAD Reusing search data in ranking and selection , ACM Trans Model Comput Simul; 28: 1–15

40%; open Ensari, E and Kobas, B (2018) Find in CUMINCAD Web scraping and mapping urban data to support urban design decisions , ITU AZ, 15(1), pp. 5-21

40%; open Farghaly, K. et al. (2019) Find in CUMINCAD BIM-linked data integration for asset management , Built Environment Project and Asset Management, 9(4), pp. 489-502. doi:10.1108/BEPAM-11-2018-0136

40%; open Fei, M. A., Fr, A., Kfy, B., Yg, A., Cz, A., Dan, G. A. (2019) Find in CUMINCAD The spatial coupling effect between urban public transport and commercial complexes: A network centrality perspective - ScienceDirect , Sustainable Cities and Society, 50, 101645-101645.Fotheringham, A. S., Yang, W., Kang, W. (2017). Multiscale Geographically Weighted Regression (MGWR). Annals of the American Association of Geographers, 107(6), 1247-1265.Harris, P., Fotheringham, A. S., Crespo, R., Charlton, M. (2018). Inference in multi-scale geographically weighted regression. WILEY, 43(3), 399.Jia, J., Zhang, X. (2021). A human-scale investigation into economic benefits of urban green and blue infrastructure based on big data and machine learning: A case study of Wuhan. Journal of Cleaner Production, 316, 128321.Oshan, T. M., Li, Z., Kang, W., Wolf, L. J., Fotheringham, A. S. (2019). MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. International Journal of Geo-Information, 8(6), 269.Rifkin, J. (2013). The Third Industrial Revolution. International Study Reference, 6(1), 8-11.Yu H, Fotheringham A S, Li Z, et al. (2019). Inference in multi-scale geographically weighted regression. Geographical Analysis, 52(1), 87-106

40%; open Fernando, S (2018) Find in CUMINCAD The Culture of Crafting: Exploring the relationship between the Hand and the Machine in Digital Stone Sculpture , Proceedings of the 1st Annual Design Research Conference, Sydney 2018, University of Sydney, pp. 509-516

40%; open Flora, R, Polly, H and Andrew, H (2018) Find in CUMINCAD The Use of Historical Data in Rule-Based Modelling for Scenarios to Improve Resilience within the Building Stock , The Historic Environment: Policy & Practice, 9(3-4), pp. 328-345

40%; open Francis, N, Green, A, Guagliardo, P, Libkin, L and Lindaake, T (2018) Find in CUMINCAD Cypher: An Evolving Query Language for Property Graphs , SIGMOD'18 Proceedings of the 2018 International Conference on Management of Data, Jun 2018, Houston, p. 1433

For more results click below:

show page 0show page 1this is page 2show page 3show page 4show page 5show page 6show page 7... show page 386HOMELOGIN (you are user _anon_84356 from group guest) CUMINCAD References Powered by SciX Open Publishing Services 1.002