Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing.

Sayed BT, Shukla MB, Sharma S, Shaaban Z, Singhal D, Nematov O, Sapaev I, Alghazali T, Smerat A, Bayatinia S.

Open source

DOI: 10.1039/d6ra06190g
Published: 2026-08-11
Container: RSC Adv
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6ra06190g,
  title = {Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing.},
  author = {Sayed BT and  Shukla MB and  Sharma S and  Shaaban Z and  Singhal D and  Nematov O and  Sapaev I and  Alghazali T and  Smerat A and  Bayatinia S.},
  year = {2026},
  journal = {RSC Adv},
  doi = {10.1039/d6ra06190g},
  url = {https://doi.org/10.1039/d6ra06190g}
}

RIS

TY  - JOUR
TI  - Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing.
AU  - Sayed BT
AU  -  Shukla MB
AU  -  Sharma S
AU  -  Shaaban Z
AU  -  Singhal D
AU  -  Nematov O
AU  -  Sapaev I
AU  -  Alghazali T
AU  -  Smerat A
AU  -  Bayatinia S.
PY  - 2026
JO  - RSC Adv
DO  - 10.1039/d6ra06190g
UR  - https://doi.org/10.1039/d6ra06190g
ER  -

APA

BT, S., MB, S., S, S., Z, S., D, S., O, N., I, S., T, A., A, S., & S., B. (2026). Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing.. RSC Adv. https://doi.org/10.1039/d6ra06190g

Source records

europe-pmc · retrieved 2026-09-25T06:27:42.536Z
doaj · retrieved 2026-09-25T06:27:42.548Z