Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI
- DOI
- 10.1016/j.foodchem.2026.151546
- Published
- 2026-12
- Container
- Food Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2026.151546,
title = {Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI},
author = {Lahcen Hssaini},
year = {2026},
journal = {Food Chemistry},
doi = {10.1016/j.foodchem.2026.151546},
url = {https://doi.org/10.1016/j.foodchem.2026.151546}
}RIS
TY - JOUR TI - Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI AU - Lahcen Hssaini PY - 2026 JO - Food Chemistry DO - 10.1016/j.foodchem.2026.151546 UR - https://doi.org/10.1016/j.foodchem.2026.151546 ER -
APA
Hssaini, L. (2026). Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI. Food Chemistry. https://doi.org/10.1016/j.foodchem.2026.151546
Source records
- crossref · retrieved 2026-11-04T20:21:45.386Z