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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	Wu, X., Sahoo, D., Hoi, S.C.H., (2020) Recent advances in deep learning for object detection , Neurocomputing 396, 39-64. https://doi.org/10.1016/j.neucom.2020.01.085

	Wu, Z., S. Pan, F. Chen, G. Long, C. Zhang, and P. S. Yu (2021) A Comprehensive Survey on Graph Neural Networks , IEEE Transactions on Neural Networks and Learning Systems 32, no.1 (January): 4–24

	Wyeld, T. (2001) What does it Mean to be a Column?: A Day in the Life of an Avatar , Proceedings of Playful Design Learning Forum. (CD-rom). South Australia: Adelaide University

	Wyeld, T. and Allan, A. (2001) Case Based Role Playing Games in Planning Education, Playful Design Learning Forum , Adelaide University School of Architecture, Landscape Architecture and Urban Design, Adelaide

	Wyeld, T., Woodbury, R. & Shannon, S. (2001) Leitmotif Cases for Design Learning , Gero, J., Chase, S. and Rosenman, M. (Editors), CAADRIA 2001, University of Sydney, Faculty of Architecture, Australia

	Wyeld, T., Woodbury, R. and Shannon, S. (2001) Leitmotif Cases for Design Learning , Gero, J., Chase, S. and Rosenman, M. (Editors), CAADRIA 2001, University of Sydney, Faculty of Architecture, Australia

	Wyeld, T., Woodbury, R. and Shannon, S. (2001) Leitmotif cases for design learning , CAADRIA 2001, Sydney, pp. 401-409

	Wyeld, T., Woodbury, R. and Shannon, S. (2001) Leitmotif Cases for Design Learning , Gero, J., Chase, S. and Rosenman, M. (Editors), CAADRIA 2001, University of Sydney, Faculty of Architecture, Australia

	Wyeld, T., Woodbury, R. and Shannon, S. (2001) Leitmotif Cases for Design Learning , Gero, J., Chase, S. and Rosenman, M. (Editors), CAADRIA 2001, University of Sydney, Faculty of Architecture, Australia

	Wyeld, T.G., Prasolova-Førland, E. and Chang, T-W. (2006) Virtual Collaborating Across Culture: a Case Study of an Online Theatrical Performance in a 3DCVE Spanning Three Continents , Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, IEEE Computer Society, Washington DC, pp.1076-1078

	Wyeld, T.G., Prasolova-Førland, E. and Chang, T.-W. (2006) Virtual Collaborating Across Culture: A Case Study of an Online Theatrical Performance in a 3DCVE Spanning Three Continents , Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, IEEE Computer Society, Washington DC, pp. 1076-1078

	Wyeld, T.G., Woodbury, R.F. and Shannon, S.J. (2001) Leitmotif Cases for Design Learning , Proceedings of The Sixth Conference on Computer Aided Architectural Design Research in Asia (CAADRIA’2001), Sydney, Australia, April, to appear

	Xi, F, Guangcai, G, Guannan, L, Liang, C, Weiqiang, L & Pei, P. (2021) A hybrid deep transfer learning strategy for short term cross-building energy prediction , Energy, 215, 119-208. https://doi.org/10.1016/j.energy.2020.119208

	Xia, Y., Yabuki, N. and Fukuda, T. (2021) Development of a system for assessing the quality of urban street-level greenery using street view images and deep learning , Urban Forestry & Urban Greening, vol.59, p. 126995

	Xia, Y., Yabuki, N., & Fukuda, T. (2021) Development of a System for Assessing the Quality of Urban Street-level Greenery Using Street View Images and Deep Learning , Urban Forestry & Urban Greening, 59, 126995. Available at: https://doi.org/1.116/j.ufug.221.126995

	Xia, Y., Yabuki, N., & Fukuda, T. (2021) Development of a System for Assessing the Quality of Urban Street-level Greenery Using Street View Images and Deep Learning , Urban Forestry & Urban Greening,59, 126995, DOI:1.116/j.ufug.221.126995

	Xiao, A., Bryden, K. & Brigham, D. (2004) Virtual Reality Tools For Enhancing Interactive Learning , ADDIN

	Xie, Michael, Neal Jean, Marshall Burke, David Lobell, and Stefano Ermon (2016) Transfer Learning from Deep Features for Remote Sensing and poverty Mapping , Proceedings of the 30th AAAI Conference on Artificial Intelligence, Phoenix, AZ, 12–17 February 2016, 3929–3935. AAAI

	Xiu, H, Vinayaraj, P, Kim, K and Nakamura, R (2018) 3D Semantic Segmentation for High-resolution Aerial Survey Derived Point Clouds using Deep Learning , 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '18)

	Xu, HM (2018) Method Research of High-Resolution Remote Sensing Imagery Classification-based U-Net Model of Deep Learning , Master's Thesis, Southwest Jiaotong University

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