Transfer Learning-Based Algorithms for the Detection of Fatigue Crack Initiation Sites: A Comparative Study
The identification of fatigue crack initiation sites (FCISs) is routinely performed in the field of engineering failure analyses; this process is not only time-consuming but also knowledge-intensive. The emergence of convolutional neural networks (CNNs) has inspired numerous innovative solutions for...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Frontiers Media S.A.
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/dd2b81edad664600ba03a64c98db147b |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|