"Deep Learning for Pipeline Damage Detection: an Overview of the Concepts ..."

Raheleh Jafari et al. (2020)

> Home

Details and statistics

DOI: 10.1109/IS48319.2020.9200137

access: closed

type: Conference or Workshop Paper

metadata version: 2025-09-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/is/JafariRGV20a
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/is/JafariRGV20a
Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova:
Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art. IEEE Conf. on Intelligent Systems 2020: 178-182

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.