Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems

S. Vanarasan, P. Pandiaraja, R. Kanimozhi, K. Muthumanickam

Open source

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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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

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