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Jong Won Ma ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  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. In: Journal of Computing in Civil Engineering, v. 38, n. 6 (November 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. In: Journal of Information Technology in Construction, v. 28 (Februar 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. In: Journal of Building Engineering, v. 80 (Dezember 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. In: Construction Innovation, v. 23, n. 5 (August 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. In: Automation in Construction, v. 136 (April 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. In: Automation in Construction, v. 124 (April 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. In: Automation in Construction, v. 113 (Mai 2020).

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

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