An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning.

Alsafi H, Munilla J, Rahebi J

DOI: 10.1155/2022/7276028
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/7276028,
  title = {An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning.},
  author = {Alsafi H and Munilla J and Rahebi J},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/7276028},
  url = {https://doi.org/10.1155/2022/7276028}
}

RIS

TY  - JOUR
TI  - An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning.
AU  - Alsafi H
AU  - Munilla J
AU  - Rahebi J
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/7276028
UR  - https://doi.org/10.1155/2022/7276028
ER  -

APA

H, A., J, M., & J, R. (2022). An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/7276028

Source records

pubmed · retrieved 2026-09-25T02:22:17.543Z
europe-pmc · retrieved 2026-09-25T02:22:17.580Z