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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	(2004) Bio-Fi: Inverse Biotelemetry Projects. , MULTIMEDIA '04 Proceedings of the 12th annual ACM international conference on Multimedia, ACM, New York, NY, USA, 182-183

	(2012) Inverse kinematics and singularity analysis for a 3-DOF hybrid-driven cable-suspended parallel robot , International journal of advanced robotic systems, 9

	Ayache, E. (2015) The Medium of Contingency. An Inverse View of the Market , Basingstoke: Palgrave Macmillan

	Baker, D.R., & Wampler II, CH.W. (1988) On the inverse kinematics of redundant manipulators , M.W. Spong, F.L. Lewis, & C.T. Abdallah (Eds.), Robot control dynamics, motion planning, and Analysis (468-486). New York: IEEE Press

	Braun A and Borrmann A (2019) Combining inverse photogrammetry and BIM for automated labeling of construction siten images for machine learning , Automation in Construction 2019; 106: 102879, Article

	Braun, Alex, and André Borrmann (2019) Combining Inverse Photogrammetry and BIM for Automated Labeling of Construction Site Images for Machine Learning , Automation in Construction 106 (October): 102879. https://doi.org/10.1016/j.autcon.2019.102879

	Chang, Y.M. and Mori, N. (1993) A design support system for cars using fuzzy inverse reasoning integrated by neural-network , Journal of Japan Society for fuzzy theory and systems Vol 5 No 5,1223-1245

	Choi, Chi Po, Gu, Xianfeng and Lui, Lok Ming (2017) Subdivision connectivity remeshing via Teichmüller extremal map[J] , Inverse Problems & Imaging, United States, pp. 825-855

	de Boer, B., Ruijg, G. J., Bakker, L., Kornaat, W., Zonneveldt, L., Kurvers, S., Alders, N., Raue, A., Hensen, J., Loonen, R. and Trcka, M. (2011) Energy saving potential of climate adaptive building shells – Inverse modelling of optimal thermal and visual behavior , Proceedings of the International Adaptive Architecture Conference, London, 16

	Easterly D and Kenyon M. (2004) Bio-Fi: inverse biotelemetry projects , MULTIMEDIA’04 proceedings of the 12th annual ACM international conference on Multimedia, New York, USA, 10–16 October 2004, pp. 182–183. New York: ACM Publications

	Gengembre E., Ladevie B., Fudym O., et al (2012) A Kriging constrained efficient global optimization approach applied to low-energy building design problems , Inverse Probl Sci Eng 2012; 20(7): 1101–1114

	Hadfield-Menell D, Russell SJ, Abbeel P, et al. (2016) Cooperative inverse reinforcement learning , Advances neural information processing systems, Barcelona, Spain, 5–10 December 2016. pp. 3909–3917

	Hirano, T, and Yamada, T (1988) Multi Paradigm Expert System Architecture Based Upon the Inverse Design Concept , Proceedings of the Int. Workshop on Artificial Intelligence for Industrial Application, Hitachi

	Jain, Avni, Jonathan A. Bollinger, and Thomas M. Truskett (2014) Inverse Methods for Material Design , American Institute of Chemical Engineers Journal 60 (8): 2732–40

	Jain, Avni, Jonathan A. Bollinger, and Thomas M. Truskett (2014) Inverse Methods for Material Design , American Institute of Chemical Engineers Journal 60 (8): 2732–40

	Jolivet V., Plemenos D. and Poulingeas P. (2002) Inverse direct lighting with a Monte Carlo method and declarative modeling , International Conference on Computational Science (2), pp. 3–12

	Julian Panetta, Florian Isvoranu, Tian Chen, Emmanuel Siéfert, Benoit Roman, and Mark Pauly (2021) Computational inverse design of surface-based inflatables , ACM Transactions On Graphics 40 (4): 1–14

	Kapon, G. et al. (2024) A Machine Learning Approach to The Inverse Problem of Self-Morphing Composites , Submitted for publication

	Kaspar A, Oh T-H, Makatura L, et al. (2019) Neural inverse knitting: from images to manufacturing instructions , Proceedings of 36th international conference on machine learning (ICML), PMLR. Long Beach, CA, 10–15 June 2019

	Kataoka, S, Yoshida, M, Furtlehner, C and Tanaka, K (2014) Traffic data reconstruction based on Markov random field modeling , Inverse Problems, 30(2), p. 15

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