Machine Learning Applied to Building Information Models

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Machine Learning Applied to Building Information Models

REFERENCES Alaloul, W.S., Liew, M.S., Amila, N., Abdullah, W., Kennedy, I.B., 2020. Industrial Revolution 4 . 0 in the construction industry : Challenges and opportunities for stakeholders. Ain Shams Engineering Journal 11, 225–230. https://doi.org/10.1016/j.asej.2019.08.010 As, I., Pal, S., Basu, P., 2018. Artificial intelligence in architecture: Generating conceptual design via deep learning. International Journal of Architectural Computing 16, 306–327. https://doi.org/10.1177/1478077118800982 Babacan, K., Chen, L., Sohn, G., 2017. Semantic Segmentation Of Indoor Point Clouds Using Convolutional Neural Network. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4, 101–108. https://doi.org/10.5194/isprs-annals-IV-4-W4-101-2017 Bier, H., Knight, T., 2014. Introduction: Data-driven design to production and operation. Footprint 1– 7. https://doi.org/10.7480/footprint.8.2.807 Bilal, M., Oyedele, L.O., Qadir, J., Munir, K., Ajayi, S.O., Akinade, O.O., Owolabi, H.A., Alaka, H.A., Pasha, M., 2016. Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2016.07.001 Brown, F.E., 1997. Space is the machine, Design Studies. https://doi.org/10.1016/s0142694x(97)89854-7 Chaillou, S., 2019. AI + Architecture. Cutler, J., Dickenson, M., 2020. Introduction https://doi.org/10.1007/978-3-030-36826-5_10

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Deutsch, R., 2015. Data-driven Design and Construction. Engin, Z., van Dijk, J., Lan, T., Longley, P.A., Treleaven, P., Batty, M., Penn, A., 2020. Data-driven urban management: Mapping the landscape. Journal of Urban Management 9, 140–150. https://doi.org/10.1016/j.jum.2019.12.001 Fergusson, K.J., Teicholz, P.M., 1993. Impact of Integration on Industrial Facility Quality. Stanford University. Ferrando, C., 2018. Towards a Machine Learning Framework in Spatial Analysis. School of Architecture Carnegie Mellon University WORKING PAPER 1, 89. Fiske, J., 2019. Towards Automated Cost Analysis , Benchmarking And Estimating In Construction : A Machine Learning Approach. https://doi.org/10.33965/bigdaci2019 Geron, A., 2019. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, Hands-On Machine Learning with R. https://doi.org/10.1201/9780367816377 Erasmus Mundus Joint Master Degree Programme – ERASMUS+ European Master in Building Information Modelling BIM A+

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