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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	Bloice MD, Roth PM and Holzinger A. (2019) Biomedical image augmentation using Augmentor , Bioinformatics; 35(21): 4522–4524

	Bonczak, B. & Kontokosta, C.E. (2019) Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data , Computers, Environment and Urban Systems, 73pp. 126-142. doi.org/10.1016/j.compenvurbsys.2018.09.004

	Bonduel, M., Wagner, A., Pauwels, P., Vergauwen, M., Klein, R., (2019) Including widespread geometry formats in semantic graphs using RDF literals , Proceedings of the 2019 European Conference on Computing in Construction, Chania, Greece, pp. 341-350

	Brown, N. C. (2019) Early building design using multi-objective data approaches , (Doctoral dissertation, Massachusetts Institute of Technology)

	Cao R, Fukuda T and Yabuki N. (2019) Quantifying visual environment by semantic segmentation using deep learning , Proceedings of CAADRIA; 2: 71–80.

	Cao, R, Fukuda, T and Yabuki, N (2019) Quantifying Visual Environment by Semantic Segmentation Using Deep Learning , Proceedings of CAADRIA 2019, Wellington, pp. 71-80, Vol.2

	Cao, R, Fukuda, T and Yabuki, N (2019) Quantifying Visual Environment by Semantic Segmentation Using Deep Learning , Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2019), p. 623-632

	Cao, R, Fukuda, T and Yabuki, N (2019) Quantifying visual environment by semantic segmentation using deep learning:A Prototype for Sky View Factor , CAADRIA 2019 24th Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia, Victoria University of Wellington, New Zealand, pp. 623-632

	Cao, R, Fukuda, T and Yabuki, N (2019) Quantifying Visual Environment by Semantic Segmentation Using Deep Learning , Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2019), p. 623-632

	Capone M, Lanzara E, Marsillo L, et al. (2019) Responsive complex surfaces manufacturing using origami , 37 education and research in computer aided architectural design in Europe and XXIII Iberoamerican society of digital graphics, joint conference (N 1), Porto, pp. 715–724

	Cardoso Llach, D. and Donaldson, S. (2019) An Experimental Archaeology of CAD: Using Software Reconstruction to Explore the Past and Future of Computer-Aided Design , J.-H. Lee (ed.) Computer-Aided Architectural Design. 'Hello, Culture'. Singapore: Springer, pp. 105-119. Available at: https://doi.org/10.1007/978-981-13-8410-3_8

	Cardoso Llach, Daniel, and Scott Donaldson (2019) An Experimental Archaeology of CAD: Using Software Reconstruction to Explore the Past and Future of Computer-Aided Design , Computer-Aided Architectural Design. Singapore: Springer. 105–119

	Chang, S., N. Saha, D. Castro-Lacouture, and P. P. J. Yang (2019) Multivariate Relationships between Campus Design Parameters and Energy Performance Using Reinforcement Learning and Parametric Modeling , Applied Energy 249: 253–264

	Chang, S., Saha, N., Castro-Lacouture, D. & Yang, P. P. J. (2019) Multivariate relationships between campus design parameters and energy performance using reinforcement learning and parametric modeling , Applied energy, 249, 253-264

	Chang, Y.L., Lim, C.K., Chou, C.M., Huang, H., Sun, T.L. and Liu, I. C. (2019) Using facial emotion recognition to observe the emotional changes of the elderly playing the pillow type device. , The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019)., Kanazawa City, Japan.

	Chhabra JPS and Warn GP (2019) A method for model selection using reinforcement learning when viewing design as a sequential decision process , Struct Multidiscip Optim 2019; 59: 1521–1542.

	Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Sajedi-Hosseini, F., & Mosavi, A. (2019) An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines , The Science of the total environment, 2019-02, Vol.651 (Pt 2), p.2087-2096"

	Costa-Jover A, Lluis i Ginovart J, Coll-Pla S, et al. (2019) Using the terrestrial laser scanner and simple methodologies for geometrically assessing complex masonry vaults , J Cult Herit; 36: 247–254

	Crisostomo, C., & Baldovino, R. G. (2019) Parking Space Optimization Using Simplex Method Linear Programming. , 219 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE).

	de Miguel, J (2019) Deep Form Finding-Using Variational Autoencoders for deep form finding of structural typologies , eCAADeSIGraDi 2019

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