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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Hu, Haobang / Fang, Hongyuan / Wang, Niannian / Ma, Duo / Dong, Jiaxiu / Li, Bin / Di, Danyang / Zheng, Hongbiao / Wu, Jiang (2023): Defects identification and location of underground space for ground penetrating radar based on deep learning. In: Tunnelling and Underground Space Technology, v. 140 (October 2023).

    https://doi.org/10.1016/j.tust.2023.105278

  2. Wang, Niannian / Dong, Jiaxiu / Fang, Hongyuan / Li, Bin / Zhai, Kejie / Ma, Duo / Shen, Yibo / Hu, Haobang (2023): 3D reconstruction and segmentation system for pavement potholes based on improved structure-from-motion (SFM) and deep learning. In: Construction and Building Materials, v. 398 (September 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132499

  3. Ma, Duo / Fang, Hongyuan / Wang, Niannian / Zheng, Hangwei / Dong, Jiaxiu / Hu, Haobang (2022): Automatic defogging, deblurring, and real-time segmentation system for sewer pipeline defects. In: Automation in Construction, v. 144 (December 2022).

    https://doi.org/10.1016/j.autcon.2022.104595

  4. Dong, Jiaxiu / Wang, Niannian / Fang, Hongyuan / Wu, Rui / Zheng, Chengzhi / Ma, Duo / Hu, Haobang (2022): Automatic damage segmentation in pavement videos by fusing similar feature extraction siamese network (SFE-SNet) and pavement damage segmentation capsule network (PDS-CapsNet). In: Automation in Construction, v. 143 (November 2022).

    https://doi.org/10.1016/j.autcon.2022.104537

  5. Dong, Jiaxiu / Wang, Niannian / Fang, Hongyuan / Hu, Qunfang / Zhang, Chao / Ma, Baosong / Ma, Duo / Hu, Haobang (2022): Innovative method for pavement multiple damages segmentation and measurement by the Road-Seg-CapsNet of feature fusion. In: Construction and Building Materials, v. 324 (March 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126719

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