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

PDF papers
References

Hits 61 to 80 of 21287

Reformat results as: short short into frame detailed detailed into frame

Details	Citation	Select
	Pena, W. (1987) Problem seeking: An architectureal programming primer AIA Press , Washington, D. C

	Pena, W. (1987) Problem seeking: an architectural programming pinter , Washington:AIA Press

	Pena, W. (2001) Problem seeking: an architectural programming primer , Wiley

	Pena, W.M. (1977) Problem Seeking: An Architectural Programming Primer , CBI publishing Company, Boston - Mass

	Pena-Mora, F. and Mills, J. W. (2001) Component-based architecture for online collaborative disaster relive mission planning environments , CIDAC, 3(2)

	Pena-Mora, F. and Mills, J.W. (2001) Component-based architecture for online collaborative disaster relief mission planning environments , CIDAC, 3(2)

	Peng W, Zhang F and Nagakura T (2017) Machines’ perception of space: Employing 3D isovist methods and a convolutional neural network in architectural space classification , ACADIA 2017: 474–481.

	Peng, L. W. and Shamsuddin, S. M. (2004) 3D Object Reconstruction and Representation Using Neural Networks , The Association of Computing Machinery AMC 2004, pp. 139-147

	Peng, W and Gero, J (2006) Using a constructive interactive activation and competition neural network to construct a situated agent's experience , PRICAI 2006: Trends in Artificial Intelligence, Ninth Pacific Rim International Conference on Artificial Intelligence, Springer, Guilin, pp. 21-30

	Peng, W and Gero, J (2007) Computer-Aided Design Tools That Adapt , Proceedings of CAAD Futures ‘07, Sydney, Australia, pp. 417-430

	PENG, W and GERO, J.S. (2007) Computer-aided design tools that adapt , CAADFutures2007 (to appear)

	Peng, W, Zhang, F and Nagakura, T (2017) Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA 2017

	Peng, W, Zhang, F and Nagakura, T (2017) Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , Proceedings of ACADIA 2017

	Peng, W, Zhang, F and Nagakura, T (2017) Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA), p. 474-481

	Peng, W, Zhang, F and Takehiko, N (2017) Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA // 2017 Disciplines & Disruption: Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, pp. 474-481

	PENG, W. & GERO, J. S. (2006) Concept formation in a design optimization tool , VAN LEEUWEN, J. P. & TIMMERMANS, H. J. P., eds. Innovations in design & decision support systems in architecture and urban planning. Dordrecht, The Netherlands: Springer. pp. 293-308

	Peng, W., Wang, R., Duan, J., Gao, W. & Fan, Z. (2022) Surface and Canopy Urban Heat Islands: Does Urban Morphology Result in the Spatiotemporal Differences? , Urban Climate, 42, 101136. Available at: https://doi.org/10116/j.uclim.222.11136

	Peng, W., Zhang, F. & Nagakura, T. (2017) Machines Perception of Space , Proceedings of the 37th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA), 474-481

	Peng, W., Zhang, F. & Nagakura, T. (2017) Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture], 474–481

	Peng, W. (2018) Machines perception of space , (Doctoral dissertation, Massachusetts Institute of Technology)

For more results click below: