WHiAR-Net: an interpretable multi-scale forecasting framework via Wavelet-Hilbert feature engineering.
- DOI
- 10.1038/s41598-026-54363-w
- Published
- 2026 May 24
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-54363-w,
title = {WHiAR-Net: an interpretable multi-scale forecasting framework via Wavelet-Hilbert feature engineering.},
author = {Wang KC},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-54363-w},
url = {https://doi.org/10.1038/s41598-026-54363-w}
}RIS
TY - JOUR TI - WHiAR-Net: an interpretable multi-scale forecasting framework via Wavelet-Hilbert feature engineering. AU - Wang KC PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-54363-w UR - https://doi.org/10.1038/s41598-026-54363-w ER -
APA
KC, W. (2026). WHiAR-Net: an interpretable multi-scale forecasting framework via Wavelet-Hilbert feature engineering.. Scientific reports. https://doi.org/10.1038/s41598-026-54363-w
Source records
- pubmed · retrieved 2026-11-10T14:22:10.053Z