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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	Azzari, G and Lobell, DB (2017) Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring , Remote Sensing of Environment, 202, pp. 64-74

	Basheer, S., Wang, X., Farooque, A. A., Nawaz, R. A., Liu, K., Adekanmbi, T., & Liu, S. (2022) Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques , Remote Sensing, 14(19), Article 19. https://doi.org/10.3390/rs14194978

	Bermudez J, Agutter J, Gondeck-Becker D, Foresti S, and Westenskow D. (1999) Visualizing the Unseen Body: Architectural Potentials of Data Modeling , Stolfi, J. and Tozzi, C. (eds): Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing (IEEE), 1999, Campinas, Brazil, UNICAMP, 61-63 and cover

	Bimber, O., Emmerling, A. and Klemmer, T. (2005) Embedded Entertainment with Smart Projectors , IEEE Computer (cover feature), pp. 56-63

	Bossard, M., J. Feranec, and J. Otahel (2000) CORINE land cover technical guide - Addendum 2000 , Bruxelles: European Environment Agency

	Broadbent, G., (1973) Design in Architecture: Architecture and the Human Sciences , Front Cover. John Wiley & Sons

	Buhl, T., Jensen, F.V. and Pellegrino S. (2004) Shape optimization of cover plates retractable roof structures , Computers and Structures 82, 1227-1236

	BusinessWeek (cover story) (1996) The office of the future , BusinessWeek. (April 1996).

	Cai BY, Li X, Seiferling I, et al (2018) Treepedia 2.0: applying deep learning for large-scale quantification of urban tree cover , 2018 IEEE International Congress on Big Data (BigData Congress), San Francisco, CA, USA, 2-7 July

	Cappiella, K., Schueler, T., & Wright, T. (2005) Urban Watershed Forestry Manual Part 1: Methods for Increasing Forest Cover in a Watershed , USDA Forest Service

	Civco, D L. (1993) Artificial Neural networks for Land-cover Classification and Mapping , International Journal of Geographical Information Systems 7, pp.173-186

	Cocks, R., Nguyen, J. and Peters, B. (2023) Wieringa Surface: The Implementation of Aperiodicity into Architectural Acoustics , Communications in Computer and Information Science, 1819 CCIS, pp. 190-203. Available at: https://doi.org/10.1007/978-3-031-37189-9_13/COVER

	Cover, R. (2000) The XML Cover Pages: Extensible Markup Language (XML) , Billerica, Mass: Organization for the Advancement of Structured Information Standards (OASIS). http:// www.oasis-open.org/cover/xml.html

	Daramola, M. T., & Balogun, I. A. (2019) Analysis of the urban surface thermal condition based on sky-view factor and vegetation cover , Remote Sensing Applications: Society and Environment, 15, 100253. https://doi.org/10.1016/j.rsase.2019.100253

	Escrig, F., Valcarcel, J.P. and Sanchez, J. (1996) Deployable Cover on a Swimming Pool in Seville , IASS, Vol. 37, N 120, 39-46

	Gibril, M., Idrees, M., Yao, K., & Shafri, H. (2018) Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data , Journal of Applied Remote Sensing, 12, 1. https://doi.org/10.1117/1.JRS.12.016036

	Herrán, Natalia, Gita R. Narayan, Claire E. Reymond, and Hildegard Westphal (2017) Calcium Carbonate Production, Coral Cover and Diversity along a Distance Gradient from Stone Town: A Case Study from Zanzibar, Tanzania , Frontiers in Marine Science 4 (March): 412. https://doi.org/10.3389/fmars.2017.00412

	Holm, D. (1989) Thermal improvement by means of leaf cover on external wall: A simulation model , Energy and Buildings, 14(1989), 19-30

	Isaakovich, Grigory (1996) Scaling, Self-similarity, and Intermediate Asymptotics , Cambridge University Press, UK, back cover, see Barenblatt discussion p. 14

	Iverson, L. R. and Cook, E. A. (2000 ) Urban forest cover of the Chicago region and its relation to household density and income , Ecosystems, 4(2), 105–124

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