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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. Kim, Jae-Hyun / Shim, Seungbo / Kong, Suk-Min / Lee, Seong-Won (2024): Evaluation of Leakage Due to Submerged Floating Tunnel Crack and Its Propagation Characteristics. Dans: KSCE Journal of Civil Engineering, v. 28, n. 11 (3 octobre 2024).

    https://doi.org/10.1007/s12205-024-1189-y

  2. Hoang, Ngoc Quy / Shim, Seungbo / Kang, Seonghun / Lee, Jong-Sub (2024): Anomaly detection via improvement of GPR image quality using ensemble restoration networks. Dans: Automation in Construction, v. 165 (septembre 2024).

    https://doi.org/10.1016/j.autcon.2024.105552

  3. Shim, Seungbo (2023): Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 7 (novembre 2023).

    https://doi.org/10.1111/mice.13119

  4. Kim, Jin / Shim, Seungbo / Kang, Seok-Jun / Cho, Gye-Chun (2023): Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network. Dans: Structural Control and Health Monitoring, v. 2023 (février 2023).

    https://doi.org/10.1155/2023/8850290

  5. Shim, Seungbo / Lee, Seong‐Won / Cho, Gye‐Chun / Kim, Jin / Kang, Sung‐Mo (2023): Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 15 (avril 2023).

    https://doi.org/10.1111/mice.12982

  6. Shim, Seungbo / Kim, Jin / Cho, Gye-Chun / Lee, Seong-Won (2022): Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022).

    https://doi.org/10.1177/14759217221097868

  7. Choi, Sang-il / Shim, Seungbo / Kong, Suk-Min / Kim, Yeong Bae / Lee, Seong-Won (2022): Efficiency Analysis of Filter-Based Calibration Technique to Improve Tunnel Measurement Reliability. Dans: KSCE Journal of Civil Engineering, v. 26, n. 6 (avril 2022).

    https://doi.org/10.1007/s12205-022-0891-x

  8. Shim, Seungbo / Kim, Jin / Lee, Seong-Won / Cho, Gye-Chun (2022): Road damage detection using super-resolution and semi-supervised learning with generative adversarial network. Dans: Automation in Construction, v. 135 (mars 2022).

    https://doi.org/10.1016/j.autcon.2022.104139

  9. Shim, Seungbo / Kim, Jin / Lee, Seong-Won / Cho, Gye-Chun (2021): Road surface damage detection based on hierarchical architecture using lightweight auto-encoder network. Dans: Automation in Construction, v. 130 (octobre 2021).

    https://doi.org/10.1016/j.autcon.2021.103833

  10. Kim, Jin / Shim, Seungbo / Cha, Yohan / Cho, Gye-Chun (2021): Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network. Dans: Smart Materials and Structures, v. 30, n. 4 (février 2021).

    https://doi.org/10.1088/1361-665x/abea1e

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