Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19.

Ashwin M, Alqahtani AS, Mubarakali A

Open source

DOI
10.1016/j.micpro.2023.104819
Published
2023 Apr
Container
Microprocessors and microsystems
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1016/j.micpro.2023.104819,
  title = {Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19.},
  author = {Ashwin M and Alqahtani AS and Mubarakali A},
  year = {2023},
  journal = {Microprocessors and microsystems},
  doi = {10.1016/j.micpro.2023.104819},
  url = {https://doi.org/10.1016/j.micpro.2023.104819}
}

RIS

TY  - JOUR
TI  - Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19.
AU  - Ashwin M
AU  - Alqahtani AS
AU  - Mubarakali A
PY  - 2023
JO  - Microprocessors and microsystems
DO  - 10.1016/j.micpro.2023.104819
UR  - https://doi.org/10.1016/j.micpro.2023.104819
ER  - 

APA

M, A., AS, A., & A, M. (2023). Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19.. Microprocessors and microsystems. https://doi.org/10.1016/j.micpro.2023.104819

Source records