Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems
- DOI
- 10.1038/s41598-026-61360-6
- Published
- 2026-07-07
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61360-6,
title = {Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems},
author = {S. Vanarasan and P. Pandiaraja and R. Kanimozhi and K. Muthumanickam},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61360-6},
url = {https://doi.org/10.1038/s41598-026-61360-6}
}RIS
TY - JOUR TI - Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems AU - S. Vanarasan AU - P. Pandiaraja AU - R. Kanimozhi AU - K. Muthumanickam PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61360-6 UR - https://doi.org/10.1038/s41598-026-61360-6 ER -
APA
Vanarasan, S., Pandiaraja, P., Kanimozhi, R., & Muthumanickam, K. (2026). Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems. Scientific Reports. https://doi.org/10.1038/s41598-026-61360-6
Source records
- crossref · retrieved 2026-09-25T13:56:52.141Z