Peer-reviewedCC BYAnalytical Methods
Ensemble-based support vector machine classifiers as an efficient tool for quality assessment of beef fillets from electronic nose data
Abstract
Over the past years, the application of electronic nose devices has been investigated as a potential tool for assessing food freshness.
Related
- Assessment of compliance to the guidelines on nutritional support in a neonatal intensive care unit: association with an electronic health Records implementation
- Ensemble feature distribution representations support visual stability
- ProcessNets: Towards an efficient approach for ensemble analysis of biological networks
- A rapid and efficient in planta assay for assessment of RNA editing factor performance
- Clustered inputs engage dendritic nonlinearities and calcium signaling to support efficient place-field formation in CA1 pyramidal neurons
BibTeX
@article{mohareb2026ensemblebased,
title = {{Ensemble-based support vector machine classifiers as an efficient tool for quality assessment of beef fillets from electronic nose data}},
author = {Fady Mohareb and Olga Papadopoulou and Efstathios Panagou and George-John Nychas and Conrad Bessant},
journal = {Analytical Methods},
year = {2026},
month = oct,
doi = {10.1039/c6ay00147e},
url = {https://hal.science/hal-05788450v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - Ensemble-based support vector machine classifiers as an efficient tool for quality assessment of beef fillets from electronic nose data
AU - Fady Mohareb
AU - Olga Papadopoulou
AU - Efstathios Panagou
AU - George-John Nychas
AU - Conrad Bessant
PY - 2026
DA - 2026/10/09
JO - Analytical Methods
DO - 10.1039/c6ay00147e
UR - https://hal.science/hal-05788450v1
AB - Over the past years, the application of electronic nose devices has been investigated as a potential tool for assessing food freshness.
SN - 1759-9660
ER -