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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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50%; open Guan, Q., Wang, L. and Clarke, K. C. (2005) Find in CUMINCAD An artificial-neural-network-based, constrained CA model for simulating urban growth , Cartography and Geographic Information Science, 32(4), pp. 369-380
50%; open Hackney, J. and K. W. Axhausen (2006) Find in CUMINCAD An agent model of social network and travel behavior interdependence , Proceedings of the 11th International Conference on Travel Behaviour Research
50%; open Hall, D (2019) Find in CUMINCAD Rethinking the business model for offsite construction , International webinar from the Transforming Construction Network Plus N+
50%; open Han R., Wang Y., Qian W., W Wang., Zhang M, and Chen G. (2022) Find in CUMINCAD Deep neural network based reduced-order model for fluid-structure interaction system , Physics of Fluids, vol. 34, fasc. 7
50%; open Haryanto, T., Pratama, A., Suhartanto, H., Murni, A., Kusmardi, K. & Pidanic, J. (2020) Find in CUMINCAD Multipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU Acceleration , Journal of Computer Science, 16(3), 280–294. https://doi.org/10.3844/jcssp.2020.280.294Hassani, M. M., Wittel, F. K., Hering, S., & Herrmann, H. J. (2015). Rheological model for wood. Computer Methods in Applied Mechanics and Engineering, 283, 1032–1060. https://doi.org/10.1016/j.cma.2014.10.031
50%; open J. M. Twomey and A. E. Smith (1995) Find in CUMINCAD Performance measures, consistency, and power for artificial neural network models , Math. Comput. Model., vol. 21, no. 1/2, pp. 243–258
50%; open Jiang, B. and Claramunt, C (2004) Find in CUMINCAD A Structural Approach to the Model Generalization of an Urban Street Network , GeoInformatica Volume 8, issue 2, 157-171
50%; open Jozen, T. (ed.) (2000) Find in CUMINCAD The Concept Network Model Database , Proceedings of the CAADRIA 2000, 379-388
50%; open Jozen, T. , Kaga, A., Wang, L., Oh, S., Sasada, T. (2000) Find in CUMINCAD The concept network model database—Image database for extending design , CAADRIA2000, Singapore, pp. 379–388
50%; open Jozen, T., Kaga, A., Wang, L., Oh, S. and Sasada, T. (2000) Find in CUMINCAD The concept network model database , CAADRIA 2000, pp. 379-388
50%; open Jozen, T., Kaga, A., Wang, L., Oh, S. and Sasada, T. (2000) Find in CUMINCAD The concept network model database , Proceedings of CAADRIA 200, pp. 379-388
50%; open Jozen, T., Kaga, A., Wang, L., Oh, S., and Sasada, T. (2000) Find in CUMINCAD The Concept Network Model Database , Proceedings of CAADRIA 2000 (Singapore) 5, 379-388
50%; open Jozen, T., Kaga, A., Wang, L., Oh, S., Sasada, T. (2000) Find in CUMINCAD The Concept Network Model Database , CAADRIA2000, Singapore, PP379-388
50%; open Jozen, T., Kaga, A., Wang, L., Oh, S., Sasada, T. (2000) Find in CUMINCAD The Concept Network Model Database , CAADRIA2000, Singapore, PP379-388
50%; open Liu, W and Seto, K C (2008) Find in CUMINCAD 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
50%; open Liu, W and Seto, KC (2008) Find in CUMINCAD 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), pp. 296-317
50%; open Liu, W. & Seto, K.C. (2008) Find in CUMINCAD 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
50%; open Liu, W. & Seto, K.C. (2008) Find in CUMINCAD 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
50%; open Liu, Weiguo and Seto, Karen (2008) Find in CUMINCAD 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), pp. 296-317
50%; open Liu, Y.T. (19??) Find in CUMINCAD A Neuron like Model for Encoding Multiple Shapes and Overcoming The Binding Problem , Neutral Network World 5, no. 3,1995; pp. 341-352

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