A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm.
- DOI
- 10.3390/s22239302
- Published
- 2022-11-29
- Container
- Sensors (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22239302,
title = {A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm.},
author = {Yedurkar DP and Metkar SP and Al-Turjman F and Al-Turjman F and Stephan T and Kolhar M and Altrjman C.},
year = {2022},
journal = {Sensors (Basel)},
doi = {10.3390/s22239302},
url = {https://doi.org/10.3390/s22239302}
}RIS
TY - JOUR TI - A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm. AU - Yedurkar DP AU - Metkar SP AU - Al-Turjman F AU - Al-Turjman F AU - Stephan T AU - Kolhar M AU - Altrjman C. PY - 2022 JO - Sensors (Basel) DO - 10.3390/s22239302 UR - https://doi.org/10.3390/s22239302 ER -
APA
DP, Y., SP, M., F, A., F, A., T, S., M, K., & C., A. (2022). A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm.. Sensors (Basel). https://doi.org/10.3390/s22239302
Source records
- europe-pmc · retrieved 2026-09-24T19:44:15.287Z
- doaj · retrieved 2026-09-24T19:44:15.294Z