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, A. N., Stouffs, R., & Biljecki, F. (2022) Generative Adversarial Networks in the Built Environment: A Comprehensive Review of the Application of GANs across Data Types and Scales , Building and Environment, 223(109477)

	Wuensche, Andrew (2004) Basins of Attraction in Network Dynamics: A Conceptual Framework for Biomolecular Networks , Modularity in Developmental Evolution, 288. Chicago: University of Chicago

	Wynekoop, J. (2003) Local Area Networks , Encyclopedia of Information Systems, 91-102. doi:10.1016/b0-12-227240-4/00106-4

	Xu T, Zhang P, Huang Q, et al (2017) AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks , IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2017

	Xu, J. M. (2001) Topological Structure and Analysis of Interconnection Networks , Kluwer Academic Publishers, October. Access: http://staff.ustc.edu.cn/~xujm/courses61.htm

	Xu, Q., Huang, G., Yuan, Y., Guo, C., Sun, Y., Wu, F., & Weinberger, K. (2018) An empirical study on evaluation metrics of generative adversarial networks , arXiv preprint arXiv:1806.07755

	Xu, T., Pengchuan, Z., Huang, Q., Zhang, H., Gan, Z., Huang, X. and He, X. (2018) AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks , Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1316-1324

	Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X. & He, X. (2018) AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks , 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE

	Yang, D, Zhang, D and Qu, B (2016) Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks , ACM Transactions on Intelligent Systems and Technology, 7, pp. 1-23

	Yang, K and Cho, S.K (2017) A context-aware system in Internet of Things using modular Bayesian networks , International Journal of Distributed Sensor Networks, 13(5), pp. 1-18

	Yang, Y., Ng, S. T., Xu, F. J., & Skitmore, M. (2018) Towards sustainable and resilient high density cities through better integration of infrastructure networks , Sustainable Cities and Society, 42(April), 407–422

	Yardi, S and Boyd, D (2010) Tweeting from the town square: Measuring geographic local networks , Tweeting from the town square: Measuring geographic local networks'

	Ye, X., Du, J. & Ye, Y. (2021) MasterplanGAN: Facilitating the smart rendering of urban master plans via generative adversarial networks , Environment and Planning B: Urban Analytics and City Science, 1-21. https://doi.org/10.1177/23998083211023516

	Ye, X., Du, J. and Ye, Y. (2022) MasterplanGAN: Facilitating the smart rendering of urban master plans via generative adversarial networks , Environment and Planning B: Urban Analytics and City Science, 49(3), pp. 794-814

	Yeh, Lun-Wu; Wang, You-Chiun; Tseng, Tu-Chee (2009) iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks , International Journal of Sensor Networks, v. 5, No. 1, pp. 1-10

	Yeh, SC, Hsu, WH, Su, MY, Chen, CH and Liu, KH (2009) A study on outdoor positioning technology using GPS and WiFi networks , Networking, Sensing and Control, 2009. ICNSC'09. International Conference on, pp. 597-601

	Yeh, SC, Hsu, WH, Su, MY, Chen, CH and Liu, KH (2009) A study on outdoor positioning technology using GPS and WiFi networks , Networking, Sensing and Control, 2009 ICNSC'09 International Conference on, pp 597-601

	Yochai, B (2006) The wealth of networks: How social production transforms markets and freedom (Chapter 3) , New Haven, Yale University Press, pp. 59 - 90

	You, L and Tunçer, B (2016) Exploring public sentiments for livable places based on a crowd-calibrated sentiment analysis ?mechanism , 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ?ASONAM 2016, San Francisco, USA, pp. 693-700

	Yu, F., Koltun, V., & Funkhouser, T. (2017) Dilated Residual Networks , Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 472-48)

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