Enhancing space sensor resilience with transfer learning in data-scarce scenarios
In Mars exploration missions, harsh environmental conditions, such as those generated by dust devils, can damage sensing systems. Soft sensors offer a promising solution in such scenarios, but their implementation is challenging when data is scarce. This paper explores the use of transfer learning (...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/adfd38 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!