Deep learning-based predictions and analysis of Norovirus dynamics using a fractional-order mathematical model

Basit Rehman, Akhtar Ali

Open source

DOI: 10.1371/journal.pone.0359983
Published: 2026-10-14
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0359983,
  title = {Deep learning-based predictions and analysis of Norovirus dynamics using a fractional-order mathematical model},
  author = {Basit Rehman and Akhtar Ali},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0359983},
  url = {https://doi.org/10.1371/journal.pone.0359983}
}

RIS

TY  - JOUR
TI  - Deep learning-based predictions and analysis of Norovirus dynamics using a fractional-order mathematical model
AU  - Basit Rehman
AU  - Akhtar Ali
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0359983
UR  - https://doi.org/10.1371/journal.pone.0359983
ER  -

APA

Rehman, B., & Ali, A. (2026). Deep learning-based predictions and analysis of Norovirus dynamics using a fractional-order mathematical model. PLOS One. https://doi.org/10.1371/journal.pone.0359983

Source records

crossref · retrieved 2026-11-04T07:40:06.458Z