Collaborative and Quantitative Prediction for Reinforcement and Penetration Depth of Weld Bead Based on Molten Pool Image and Deep Residual Network

Jun Lu, Yumin Shi, Lianfa Bai, Zhuang Zhao, Jing Han 0009. Collaborative and Quantitative Prediction for Reinforcement and Penetration Depth of Weld Bead Based on Molten Pool Image and Deep Residual Network. IEEE Access, 8:126138-126148, 2020. [doi]

@article{LuSBZH20,
  title = {Collaborative and Quantitative Prediction for Reinforcement and Penetration Depth of Weld Bead Based on Molten Pool Image and Deep Residual Network},
  author = {Jun Lu and Yumin Shi and Lianfa Bai and Zhuang Zhao and Jing Han 0009},
  year = {2020},
  doi = {10.1109/ACCESS.2020.3007815},
  url = {https://doi.org/10.1109/ACCESS.2020.3007815},
  researchr = {https://researchr.org/publication/LuSBZH20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {8},
  pages = {126138-126148},
}