Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.

Wang SH, Satapathy SC, Anderson D, Chen SX, Zhang YD

Open source

DOI
10.3389/fpubh.2021.726144
Published
2021
Container
Frontiers in public health
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2021.726144,
  title = {Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.},
  author = {Wang SH and Satapathy SC and Anderson D and Chen SX and Zhang YD},
  year = {2021},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2021.726144},
  url = {https://doi.org/10.3389/fpubh.2021.726144}
}

RIS

TY  - JOUR
TI  - Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.
AU  - Wang SH
AU  - Satapathy SC
AU  - Anderson D
AU  - Chen SX
AU  - Zhang YD
PY  - 2021
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2021.726144
UR  - https://doi.org/10.3389/fpubh.2021.726144
ER  - 

APA

SH, W., SC, S., D, A., SX, C., & YD, Z. (2021). Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.. Frontiers in public health. https://doi.org/10.3389/fpubh.2021.726144

Source records