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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. Leygonie, Romain / Motamedi, Ali / Iordanova, Ivanka (2022): Development of quality improvement procedures and tools for facility management BIM. Dans: Developments in the Built Environment, v. 11 (septembre 2022).

    https://doi.org/10.1016/j.dibe.2022.100075

  2. Shahinmoghadam, Mehrzad / Natephra, Worawan / Motamedi, Ali (2021): BIM- and IoT-based virtual reality tool for real-time thermal comfort assessment in building enclosures. Dans: Building and Environment, v. 199 (juillet 2021).

    https://doi.org/10.1016/j.buildenv.2021.107905

  3. Natephra, Worawan / Motamedi, Ali / Yabuki, Nobuyoshi / Fukuda, Tomohiro (2017): Integrating 4D thermal information with BIM for building envelope thermal performance analysis and thermal comfort evaluation in naturally ventilated environments. Dans: Building and Environment, v. 124 (novembre 2017).

    https://doi.org/10.1016/j.buildenv.2017.08.004

  4. Brunet, Maude / Motamedi, Ali / Guénette, Louis-Martin / Forgues, Daniel (2019): Analysis of BIM use for asset management in three public organizations in Québec, Canada. Dans: Built Environment Project and Asset Management, v. 9, n. 1 (mars 2019).

    https://doi.org/10.1108/bepam-02-2018-0046

  5. Hidaka, Nao / Michikawa, Takashi / Motamedi, Ali / Yabuki, Nobuyoshi / Fukuda, Tomohiro (2018): Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities. Dans: Automation in Construction, v. 86 (février 2018).

    https://doi.org/10.1016/j.autcon.2017.10.014

  6. Motamedi, Ali / Hammad, Amin / Asen, Yoosef (2014): Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management. Dans: Automation in Construction, v. 43 (juillet 2014).

    https://doi.org/10.1016/j.autcon.2014.03.012

  7. Soltani, Mohammad Mostafa / Motamedi, Ali / Hammad, Amin (2015): Enhancing Cluster-based RFID Tag Localization using artificial neural networks and virtual reference tags. Dans: Automation in Construction, v. 54 (juin 2015).

    https://doi.org/10.1016/j.autcon.2015.03.009

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