Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures
- DOI
- 10.1016/j.cmpbup.2025.100227
- Published
- 2026-06
- Container
- Computer Methods and Programs in Biomedicine Update
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpbup.2025.100227,
title = {Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures},
author = {Nithinkumar K.V. and Anand R.},
year = {2026},
journal = {Computer Methods and Programs in Biomedicine Update},
doi = {10.1016/j.cmpbup.2025.100227},
url = {https://doi.org/10.1016/j.cmpbup.2025.100227}
}RIS
TY - JOUR TI - Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures AU - Nithinkumar K.V. AU - Anand R. PY - 2026 JO - Computer Methods and Programs in Biomedicine Update DO - 10.1016/j.cmpbup.2025.100227 UR - https://doi.org/10.1016/j.cmpbup.2025.100227 ER -
APA
K.V., N., & R., A. (2026). Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures. Computer Methods and Programs in Biomedicine Update. https://doi.org/10.1016/j.cmpbup.2025.100227
Source records
- crossref · retrieved 2026-09-25T00:13:17.896Z