Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction
In: IEEE Transactions on Industrial Informatics (T-IINF) / Institute of Electrical and Electronics Engineers (IEEE) (Eds.). (2024), in press
2024article/chapter in journalClosed access
Computer ScienceFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction
Author:
Yang, Dan
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
- Other
- corresponding author
Year of publication:
2024
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Note:
in press
Language of text:
English
Keyword, Topic:
Bayes methods ; Bayesian inference ; Feature extraction ; gate recurrent unit ; Monitoring ; Probabilistic logic ; Probability distribution ; slow feature analysis (SFA) ; Time series analysis ; Training ; transfer learning (TL) ; wastewater treatment process (WWTP)
Type of resource:
Text