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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. Ma, Jong Won / Jung, Jaehoon / Leite, Fernanda (2024): Deep Learning–Based Scan-to-BIM Automation and Object Scope Expansion Using a Low-Cost 3D Scan Data. Dans: Journal of Computing in Civil Engineering, v. 38, n. 6 (novembre 2024).

    https://doi.org/10.1061/jccee5.cpeng-5751

  2. Lee, Yu-Chen / Ma, Jong Won / Leite, Fernanda (2023): A parametric approach towards semi-automated 3D as-built modeling. Dans: Journal of Information Technology in Construction, v. 28 (février 2023).

    https://doi.org/10.36680/j.itcon.2023.041

  3. Park, Sangwook / Ma, Jong Won (2023): Voxel-based structural monitoring model for building structures using terrestrial laser scanning. Dans: Journal of Building Engineering, v. 80 (décembre 2023).

    https://doi.org/10.1016/j.jobe.2023.108151

  4. O'Connor, James T. / Leite, Fernanda / Ma, Jong Won (2022): Expanding advanced work packaging to include commissioning and startup for industrial projects. Dans: Construction Innovation, v. 23, n. 5 (août 2022).

    https://doi.org/10.1108/ci-09-2021-0173

  5. Ma, Jong Won / Leite, Fernanda (2022): Performance boosting of conventional deep learning-based semantic segmentation leveraging unsupervised clustering. Dans: Automation in Construction, v. 136 (avril 2022).

    https://doi.org/10.1016/j.autcon.2022.104167

  6. Czerniawski, Thomas / Ma, Jong Won / Leite, Fernanda (2021): Automated building change detection with amodal completion of point clouds. Dans: Automation in Construction, v. 124 (avril 2021).

    https://doi.org/10.1016/j.autcon.2021.103568

  7. Ma, Jong Won / Czerniawski, Thomas / Leite, Fernanda (2020): Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds. Dans: Automation in Construction, v. 113 (mai 2020).

    https://doi.org/10.1016/j.autcon.2020.103144

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