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
- Publisher
- MDPI AG
- Open access
- unknown
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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 = {Dhanalekshmi Prasad Yedurkar and Shilpa P. Metkar and Fadi Al-Turjman and Thompson Stephan and Manjur Kolhar and Chadi Altrjman},
year = {2022},
journal = {Sensors},
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 - Dhanalekshmi Prasad Yedurkar AU - Shilpa P. Metkar AU - Fadi Al-Turjman AU - Thompson Stephan AU - Manjur Kolhar AU - Chadi Altrjman PY - 2022 JO - Sensors DO - 10.3390/s22239302 UR - https://doi.org/10.3390/s22239302 ER -
APA
Yedurkar, D. P., Metkar, S. P., Al-Turjman, F., Stephan, T., Kolhar, M., & Altrjman, C. (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. https://doi.org/10.3390/s22239302
Source records
- crossref · retrieved 2026-11-04T11:11:34.877Z