Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks

Guilherme Rezende Bessa Ferreira, Paula Aida Sesini, Luis Paulo Brasil de Souza, Alan Conci Kubrusly, Helon Vicente Hultmann Ayala. Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-7, IEEE, 2021. [doi]

@inproceedings{FerreiraSSKA21,
  title = {Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks},
  author = {Guilherme Rezende Bessa Ferreira and Paula Aida Sesini and Luis Paulo Brasil de Souza and Alan Conci Kubrusly and Helon Vicente Hultmann Ayala},
  year = {2021},
  doi = {10.1109/SSCI50451.2021.9659884},
  url = {https://doi.org/10.1109/SSCI50451.2021.9659884},
  researchr = {https://researchr.org/publication/FerreiraSSKA21},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9048-8},
}