Automated detection of welding defects in pipelines from radiographic images DWDI

By Neury Boaretto, T. M. Centeno. 2017

172 citations recorded by the source corpus.

Subfields: Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5c62bd556fc85f93c9102f1aa23ed3beb8fbd4f5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hao Dong
2. Shihao Tang
3. Shaobo Li
4. Jing Yang
5. Jun Wang
6. Z. Wang

Citations in the corpus

• Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges (2020, background): “The reference [108,110,132] are the experimental results of other quality detection technologies.”