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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	Ng JMY, Khean N and Madden D (2019) Optimising image classification: Implementation of convolutional neural network algorithms to distinguish between plans and sections within the Architectural, Engineering and Construction (AEC) industry , Intelligent & Informed - 24th CAADRIA Conference, April, 2019, Victoria University of Wellington, pp. 795–804.

	Ng, J M Y, Khean, N, Madden, D, Fabbri, A, Gardner, N, Haeusler, M H and Zavoleas, Y (2019) Optimising Image Classification - Implementation of Convolutional Neural Network Algorithms to Distinguish Between Plans and Sections within the Architectural, Engineering and Construction (AEC) Industry , Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2,, Wellington, New Zealand, pp. 795-804

	Ngarambe, J, Irakoze, A, Yun, GY and Kim, G (2020) Comparative Performance of Machine Learning Algorithms in the Prediction of Indoor Daylight Illuminances , Sustainability, 12(11), p. 4471

	Ngarambe, J., Irakoze, A., Yun, G. Y. & Kim, G. (2020) Comparative performance of machine learning algorithms in the prediction of indoor daylight illuminances , Sustainability, 12(11), 4471

	Niklaus, W (1975) Algorithms + Data Structures = Programs , Prentice-Hall, Upper Saddle River

	Noilublao, N and Bureerat, S (2009) Simultaneous topology, shape and sizing optimisation of skeletal structures using multiobjective evolutionary algorithms , Evolutionary Computation, 2009, 24, 487-580

	Noilublao, N and Bureerat, S (2011) Simultaneous topology, shape and sizing optimisation of a three-dimensional slender truss tower using multiobjective evolutionary algorithms , Computers and Structures, 2011, 89, 2531-2538

	Okwu M. O. and Tartibu L. K (2021) Metaheuristic optimization: Nature-inspired algorithms swarm and computational intelligence, theory and applications , Cham: Springer International Publishing, 2021, Vol.927.

	Orourke, J. (1987) Art Gallery Theorems and Algorithms , Oxford University Press, Oxford

	Orvosh D (1993) Shall we repair? Genetic algorithms, combinatorial optimization, and feasibility constraints , Proc 5th Int Conf Genet algorithms 1993: 650.

	OUDEYER Pierre-Yves (2003) The production and recognition of emotions in speech: features and algorithms , International Journal of Human Computer Interaction_Vol.59(1-2) pp.157-183

	O’Neill, M. and Ryan, C. (2000) Incorporating Gene Expression Models into Evolutionary Algorithms , A. Wu (ed.), Proceedings of GECCO 2000 Workshop on Gene Expression, pp. 167-173, San Francisco, CA, Morgan Kaufman Publishers

	O’REILLY, U. M.; HEMBERG, M.; MENGES, A. (2004) Evolutionary Computation and Artificial Life in Architecture: Exploring the Potential of Generative and genetic Algorithms as Operative Design Tools , Architectural Design: Emergence: Morphogenetic Design Strategies, Guest-edited by Michel Hensel, Michel Weinstock e Achim Menges, London: Wiley-Academy, v. 74, n. 3, may/june, 2004, p.49-53

	O’Rourke, J. (1987) Art Gallery Theorem and Algorithms , Oxford University Press, New York

	Pasquale, F. (2015) The Black Box Society: The Secret Algorithms That Control Money and Information , Cambridge, MA: Harvard Press

	Patrick J and Kaushik VS (2014) Evolving Lego: exploring the impact of alternative encodings on the performance of evolutionary algorithms , Proc

	Pereira, B (2019) Master planning with urban algorithms, Urban parameters, optimization and scenarios , CAADRIA 2019, Volume 2, pp. 51-60

	Pham, D.T. and Karaboga, D. (2000) Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks , Springer, London

	Poloni , C. and Pediroda, V. (1997) GA coupled with computationally expensive simulations: tools to improve efficiency, in D. Quagliarella, J. Périaux, C. Poloni and G. Winter (eds.) , Genetic algorithms and evolution strategy in engineering and computer science: recent advances and industrial applications, John Wiley & Sons, West Sussex, England, 225–243

	Poloni, C and Pediroda, V (1997) GA coupled with computationally expensive simulations: tools to improve efficiency , Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, pp. 267-288

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