Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.

Islam MFU, Hossain S, Alam MGR, Mansoor N, Chakrabarty A

DOI: 10.1371/journal.pone.0333286
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0333286,
  title = {Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.},
  author = {Islam MFU and Hossain S and Alam MGR and Mansoor N and Chakrabarty A},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0333286},
  url = {https://doi.org/10.1371/journal.pone.0333286}
}

RIS

TY  - JOUR
TI  - Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.
AU  - Islam MFU
AU  - Hossain S
AU  - Alam MGR
AU  - Mansoor N
AU  - Chakrabarty A
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0333286
UR  - https://doi.org/10.1371/journal.pone.0333286
ER  -

APA

MFU, I., S, H., MGR, A., N, M., & A, C. (2025). Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.. PloS one. https://doi.org/10.1371/journal.pone.0333286

Source records

pubmed · retrieved 2026-09-27T08:48:06.787Z