Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.

Khaloufi H, Abouelmehdi K, Beni-Hssane A, Rustam F, Jurcut AD, Lee E, Ashraf I

DOI: 10.3390/s21206853
Published: 2021 Oct 15
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s21206853,
  title = {Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.},
  author = {Khaloufi H and Abouelmehdi K and Beni-Hssane A and Rustam F and Jurcut AD and Lee E and Ashraf I},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21206853},
  url = {https://doi.org/10.3390/s21206853}
}

RIS

TY  - JOUR
TI  - Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.
AU  - Khaloufi H
AU  - Abouelmehdi K
AU  - Beni-Hssane A
AU  - Rustam F
AU  - Jurcut AD
AU  - Lee E
AU  - Ashraf I
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21206853
UR  - https://doi.org/10.3390/s21206853
ER  -

APA

H, K., K, A., A, B., F, R., AD, J., E, L., & I, A. (2021). Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21206853

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pubmed · retrieved 2026-09-25T21:11:08.002Z