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An Ensemble ML Model to Predict the Wastage of Food: Toward..:
, In:
2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
,
Masuk Shopnil, Md Masrur
;
Husna, Asmaul
;
Sultana, Shaheena
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/NCIM59001.2023.10212669
RT T1
2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
: T1
An Ensemble ML Model to Predict the Wastage of Food: Towards Achieving the Food Sustainability
UL https://suche.suub.uni-bremen.de/peid=ieee-10212669&Exemplar=1&LAN=DE A1 Masuk Shopnil, Md Masrur A1 Husna, Asmaul A1 Sultana, Shaheena A1 Islam, Muhammad Nazrul YR 2023 K1 Food waste K1 Procurement K1 Analytical models K1 Costs K1 Biological system modeling K1 Predictive models K1 Data models K1 ensemble K1 prediction K1 sustainability K1 Machine Learning K1 evaluation metrics SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/NCIM59001.2023.10212669 DO https://doi.org/10.1109/NCIM59001.2023.10212669 SF ELIB - SuUB Bremen
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