An overview of machine learning methods in enabling IoMT-based epileptic seizure detection

Alaa Lateef Noor Al-hajjar, Ali Kadhum M. Al-Qurabat

Open source

DOI: 10.1007/s11227-023-05299-9
Published: 2023-04-24
Container: The Journal of Supercomputing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11227-023-05299-9,
  title = {An overview of machine learning methods in enabling IoMT-based epileptic seizure detection},
  author = {Alaa Lateef Noor Al-hajjar and Ali Kadhum M. Al-Qurabat},
  year = {2023},
  journal = {The Journal of Supercomputing},
  doi = {10.1007/s11227-023-05299-9},
  url = {https://doi.org/10.1007/s11227-023-05299-9}
}

RIS

TY  - JOUR
TI  - An overview of machine learning methods in enabling IoMT-based epileptic seizure detection
AU  - Alaa Lateef Noor Al-hajjar
AU  - Ali Kadhum M. Al-Qurabat
PY  - 2023
JO  - The Journal of Supercomputing
DO  - 10.1007/s11227-023-05299-9
UR  - https://doi.org/10.1007/s11227-023-05299-9
ER  -

APA

Al-hajjar, A. L. N., & Al-Qurabat, A. K. M. (2023). An overview of machine learning methods in enabling IoMT-based epileptic seizure detection. The Journal of Supercomputing. https://doi.org/10.1007/s11227-023-05299-9

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crossref · retrieved 2026-09-25T06:52:25.827Z