Machine learning-based process quality control of screen-printed titanium dioxide electrodes
AI-based quality control has gained attention in the manufacturing industry due to its ability to improve speed and accuracy. AI can analyze a printed electrode and classify it as either good or bad quality within milliseconds, much faster than humans and conventional methods (random sampling and co...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Results in Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590048X25000378 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|