Deep Learning-Based Defects Detection in Keyhole TIG Welding with Enhanced Vision
2024 · Materials · 10 citations
https://doi.org/10.3390/ma17153871
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
47
Papers
474
Citations
12
h-index
16
i10-index
Shengbin Zhao is an academic researcher from Sichuan University. The author has contributed to research in topics: Welding Techniques and Residual Stresses & High Entropy Alloys Studies & Additive Manufacturing Materials and Processes. The author has an h-index of 12, co-authored 40 publications.
ORCID: 0009-0005-9020-5564https://doi.org/10.3390/ma17153871
https://doi.org/10.1016/j.jmatprotec.2025.118917
https://doi.org/10.1016/j.mtcomm.2025.113518
Click to start Chat