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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	Liu K and Tovar A (2014) An efficient 3D topology optimization code written in Matlab , Struct Multidiscip Optim 2014; 50(6): 1175–1196

	Liu, C.L., Nakashima, K., Sako, H. and H. Fujisawa (2003) Handwritten digit recognition: benchmarking of state-of-the-art techniques , Pattern Recognition 36(10), pp. 2271-2285

	Liu, C.L., Nakashima, K., Sako, H.,, and H. Fujisawa (2003) Handwritten digit recognition: benchmarking of state-of-the-art techniques , Pattern Recognition 36(10): 2271-2285

	Liu, D., and Wang, K., (2023) Spatial Analysis of Villages in Jilin Province Based on Space Syntax and Machine Learning , Yuan, P.F., Chai, H., Yan, C., Li, K., Sun, T. (eds) Hybrid Intelligence. CDRF 2022. 3-13. Springer, Singapore

	Liu, D., Bhagat, K.K., Gao, Y., Chang, T.W. And Huang, R. (2017) The potentials and trends of virtual reality in education , Virtual, augmented, and mixed realities education, 105-130. Springer, Singapore

	Liu, H., Zeng, G.Zh. and Lin, Z.K. (1997) An agent-based approach to cooperative design , Proceedings of Workshop on CSCW in Designí97, Bangkok, International Academic Publishers, 191-195

	Liu, Henan, Longai Liao, and Akshay Srivastava (2019) An Anonymous Composition , ACADIA 19: Ubiquity and Autonomy [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)], Austin, TX, 21–26 October 2019, edited by K. Bieg, D. Briscoe, and C. Odom, 404–411. CUMINCAD

	Liu, K and Jiang, L (2011) Bio-inspired design of multiscale structures for function integration , Nano Today, 6(2), pp 155-175

	Liu, K and Tovar, A (2014) An efficient 3D topology optimization code written in Matlab , Structural and Multidisciplinary Optimization, 50(6), pp. 1175-1196

	Liu, K, Wang, JG and Tang, P (2018) Sprawling Urban Form and Expanding Living Space: A Study on the Relationship of Residential Space Development and Urban Built-up Area Expansion in Nanjing, China , Journal of Asian Architecture and Building Engineering, 14, pp. 387-394

	Liu, K. and Tovar, A, (2014) An efficient 3D topology optimization code written in Matlab , Structural and Multidisciplinary Optimization, 50(6), pp. 1175-1196

	Liu, K., Xu, X., Zhang, R., Kong, L., Wang, W., & Deng, W. (2023) Impact of urban form on building energy consumption and solar energy potential: A case study of residential blocks in Jianhu, China , Energy and Buildings, 280, 112727

	LIU, K. (2012) The Tectonic Research on Modern Large-span Wood Structure Achitecture , Master's Thesis, Southwest Jiaotong University

	Liu, L, Liu, Y, Wang, X, Yu, D, Liu, K, Huang, H and Hu, G (2015) Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata , Natural Hazards and Earth System Sciences, 15, pp. 381-391

	Liu, L., Xun, L., Wang, Z., Liu, H., Huang, Y., & Bedra, K. B. (2023) Peak Carbon Dioxide Emissions Strategy Based on the Gray Model between Carbon Emissions and Urban Spatial Expansion for a Built-Up Area , Applied Sciences, 13(1). https://doi.org/10.3390/app13010187

	Liu, P.K., Luh, L.B., Chan, T.Y. (2009) Service Robot for Inspecting Exterior Gas Pipes of High Rise Buildings , Proceedings of the World Congress on Engineering, vol. 2

	Liu, W and Seto, K C (2008) Using the ART-MMAP Neural Network to Model and Predict Urban Growth: A Spatiotemporal Data Mining Approach , Environment and Planning B: Planning and Design, 35(2), p 296-317

	Liu, W. & Seto, K.C. (2008) Using the ART-MMAP neural network to model and predict urban growth: a spatiotemporal data mining approach , Environment and Planning B, Vol. 35, no.2, pp. 296 - 317

	Liu, W. & Seto, K.C. (2008) Using the ART-MMAP neural network to model and predict urban growth: a spatiotemporal data mining approach , Environment and Planning B, Vol. 35, no.2, pp. 296-317

	Liu, X., Kong, X., Liu, L., & Chiang, K. (2018) Treegan: Syntax-aware Sequence Generation with Generative Adversarial Networks , 218 IEEE International Conference on Data Mining (ICDM) (pp.114-1145)

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