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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	Akbar, A, Flacke, J and Martinez, J (2020) Knowing My Village from the Sky: A Collaborative Spatial Learning Framework to Integrate Spatial Knowledge of Stakeholders in Achieving Sustainable Development Goals , ISPRS International Journal of Geo-Information, 9(9), p. 515

	Akin Ö (2001) Chapter 6 - Variants in Design Cognition , Eastman CM, McCracken WM, Newstetter WC (eds) Design knowing and learning: Cognition design education /editors, Charles M. Eastman, W. Michael McCracken, Wendy C. Newstetter. Elsevier Science, Oxford, pp 105–124

	Akin, O (2001) Variants in design cognition , Eastman, C, McCracken, M and Newstetter, W (eds), Design Knowing and Learning Cognition in Design Education, Elsevier, Oxford, pp. 105-124

	Akin, O (2001) Variants in Design Cognition , C. Eastman et al. (eds) Design Knowing and Learning: Cognition in Design Education, Elsevier

	Akin, O. (2001) Variants in design cognition , Design knowing and learning: Cognition in design education. 105-124

	Akin, O. (2001) Variants in Design Cognition , Design Knowing and Learning: Cognition and Design Education, Chapter 5, Elsevier, London, pp. 105-124

	Akin, O_. (2002) Variants in Design Cognition. Design Knowing and Learning Cognition in Design Education , C. Eastman, M. McCracken and W. Newstetter. Amsterdam, Elsevier: 105–124

	Akin, Ö. (2001) Variants in design cognition , Eastman, C., Newstetter, W. and McCracken, M. (eds), Design knowing and learning: Cognition in design education, Elsevier, pp. 105-124

	Akin, Ö. (2002) Variants in Design Cognition , Design Knowing and Learning Cognition in Design Education, Amsterdam: Elsevier, 105-124

	Akin, Ö. (2019) Precedent-based learning: an approach for studio pedagogy in the early years , Blythe, R. and De Walsche, J. (eds.) 2019 ACSA Teachers Conference, Practice of Teaching \| Teaching of Practice: The Teacher's Hunch, pp. 2-6

	Akinsola, J. E. (2017) Supervised Machine Learning Algorithms: Classification and Comparison , International Journal of Computer Trends and Technology (IJCTT)

	Akizuki, Y., Bernhard, M., Kakooee, R., Kladeftira, M., & Dillenburger, B. (2020) Generative modelling with design constraints: Reinforcement learning for object generation , RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2020, 1

	Akpinar, Y. (2008) Validation of a learning object review instrument: relationship between ratings of learning objects and actual learning outcomes, interdisciplinary , Journal of E-Learning and Learning Objects, 4, 291-302

	Aksoez, Z and Preisinger, C (2020) An Interactive Structural Optimization of Space Frame Structures Using Machine Learning , Gengnagel, C., Baverel, O., Burry, J., Ramsgaard Thomsen, M. and Weinzierl, S. (eds), Impact: Design With All Senses, Springer, Cham, pp. 18-31

	Aksöz, Z., and C. Preisinger (2019) An Interactive Structural Optimization of Space Frame Structures Using Machine Learning , Impact: Design With All Senses [Proceedings of the Design Modelling Symposium], Berlin, Germany, edited by Christoph Gengnagel, Olivier Baverel, Jane Burry, Mette Ramsgaard-Thomsen, and Stefan Weinzierl, 18–31. Springer

	Al Maani, D. (2019) Exploring transition toward independent learning: student experiences in the first year of architecture school , Doctoral dissertation, Cardiff University, UK

	Al-Jokhadar, A (2018) Towards a socio-spatial parametric grammar for sustainable tall residential buildings in hot-arid regions learning from the vernacular model of the Middle East and North Africa , Ph.D. Thesis, Cardiff University

	Al-maliki, J. Q.; Al-maliki, A. J. Q. (2015) The Processes and Technologies of 3D Printing. International Journal of Advances in Computer Science and Technology. vol. 4 No.10 , Oct. 2015. ISSN 2320 2602. http://www.warse.org/IJACST/static/pdf/file/ijacst024102015.pdfBardram, J. E.; Christensen, H. B.; Hansen, K. M. (2004) Architectural prototyping: an approach for grounding architectural design and learning

	Alade Y, Kaeser-Chen C, Dubois E, et al (2019) Kaleidoscope: positionality-aware machine learning , Assembly, 2019, https://kaleidoscope.media.mit.edu/

	Alammar, A. and Jabi, W. (2023) Generation of a Large Synthetic Database of Office Towers Energy Demand Using Simulation and Machine Learning , Springer Nature Singapore. Available at: http://dx.doi.org/10.1007/978-981-99-2217-8_27

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