Beyond Optimal Conditions in Optical Sensor Arrays: Big Analytical Data Meets Multiway Deep Learning.

Esmaeili N, Shojaeifard Z, Hemmateenejad B

Open source

DOI
10.1021/acs.analchem.6c02653
Published
2026 Oct 13
Container
Analytical chemistry
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 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:10.1021/acs.analchem.6c02653,
  title = {Beyond Optimal Conditions in Optical Sensor Arrays: Big Analytical Data Meets Multiway Deep Learning.},
  author = {Esmaeili N and Shojaeifard Z and Hemmateenejad B},
  year = {2026},
  journal = {Analytical chemistry},
  doi = {10.1021/acs.analchem.6c02653},
  url = {https://doi.org/10.1021/acs.analchem.6c02653}
}

RIS

TY  - JOUR
TI  - Beyond Optimal Conditions in Optical Sensor Arrays: Big Analytical Data Meets Multiway Deep Learning.
AU  - Esmaeili N
AU  - Shojaeifard Z
AU  - Hemmateenejad B
PY  - 2026
JO  - Analytical chemistry
DO  - 10.1021/acs.analchem.6c02653
UR  - https://doi.org/10.1021/acs.analchem.6c02653
ER  - 

APA

N, E., Z, S., & B, H. (2026). Beyond Optimal Conditions in Optical Sensor Arrays: Big Analytical Data Meets Multiway Deep Learning.. Analytical chemistry. https://doi.org/10.1021/acs.analchem.6c02653

Source records