AdaptiveFrequencyNet: a long-term time series forecasting approach based on learnable frequency decomposition and cross-scale attention fusion.
- DOI
- 10.1038/s41598-026-56619-x
- Published
- 2026 Jun 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56619-x,
title = {AdaptiveFrequencyNet: a long-term time series forecasting approach based on learnable frequency decomposition and cross-scale attention fusion.},
author = {Cui J and Li W and Wang X},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-56619-x},
url = {https://doi.org/10.1038/s41598-026-56619-x}
}RIS
TY - JOUR TI - AdaptiveFrequencyNet: a long-term time series forecasting approach based on learnable frequency decomposition and cross-scale attention fusion. AU - Cui J AU - Li W AU - Wang X PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-56619-x UR - https://doi.org/10.1038/s41598-026-56619-x ER -
APA
J, C., W, L., & X, W. (2026). AdaptiveFrequencyNet: a long-term time series forecasting approach based on learnable frequency decomposition and cross-scale attention fusion.. Scientific reports. https://doi.org/10.1038/s41598-026-56619-x
Source records
- pubmed · retrieved 2026-09-26T01:45:17.054Z