Leveraging LSTM and ensemble classifiers for enhanced food waste classification

Abstract A long short-term memory (LSTM)-enhanced feature extraction technique was combined with ensemble classifiers (gradient boosting, logistic regression, random forest, and support vector machine (SVM)) to improve waste classification outcomes. The proposed feature extraction approach detects t...

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Wedi'i Gadw mewn:

Manylion Llyfryddiaeth
Prif Awdur:	Khalaf Alsalem
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	Springer 2025-05-01
Cyfres:	Discover Sustainability
Pynciau:	Food waste classification Machine learning LSTM Ensemble classifiers
Mynediad Ar-lein:	https://doi.org/10.1007/s43621-025-01330-6
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

Leveraging LSTM and ensemble classifiers for enhanced food waste classification

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