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David Gerber

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Khashe, Saba / Heydarian, Arsalan / Gerber, David / Becerik-Gerber, Burcin / Hayes, Timothy / Wood, Wendy (2015): Influence of LEED branding on building occupants' pro-environmental behavior. Dans: Building and Environment, v. 94 (décembre 2015).

    https://doi.org/10.1016/j.buildenv.2015.10.005

  2. Heydarian, Arsalan / Carneiro, Joao P. / Gerber, David / Becerik-Gerber, Burcin (2015): Immersive virtual environments, understanding the impact of design features and occupant choice upon lighting for building performance. Dans: Building and Environment, v. 89 (juillet 2015).

    https://doi.org/10.1016/j.buildenv.2015.02.038

  3. Heydarian, Arsalan / Carneiro, Joao P. / Gerber, David / Becerik-Gerber, Burcin / Hayes, Timothy / Wood, Wendy (2015): Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations. Dans: Automation in Construction, v. 54 (juin 2015).

    https://doi.org/10.1016/j.autcon.2015.03.020

  4. Heydarian, Arsalan / Pantazis, Evangelos / Wang, Alan / Gerber, David / Becerik-Gerber, Burcin (2017): Towards user centered building design: Identifying end-user lighting preferences via immersive virtual environments. Dans: Automation in Construction, v. 81 (septembre 2017).

    https://doi.org/10.1016/j.autcon.2017.05.003

  5. Wit, Andrew John / Vasey, Lauren / Parlac, Vera / Marcu, Mara / Jabi, Wassim / Gerber, David / Daas, Mahesh / Clayton, Mark (2018): Artificial intelligence and robotics in architecture: Autonomy, agency, and indeterminacy. Dans: International Journal of Architectural Computing, v. 16, n. 4 (novembre 2018).

    https://doi.org/10.1177/1478077118807266

  6. Pantazis, Evangelos / Gerber, David (2018): A framework for generating and evaluating façade designs using a multi-agent system approach. Dans: International Journal of Architectural Computing, v. 16, n. 4 (novembre 2018).

    https://doi.org/10.1177/1478077118805874

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