An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Food waste’s negative environmental repercussions are causing it to become a global concern. Several studies have examined the factors influencing food waste behaviour and management. This work was motivated by the lack of previous research on machine learning and electronic noses to detect contamin...
Saved in:
Main Authors: | Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Utara Malaysia Press
2024
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/31273/1/JICT%2023%2002%202024%20253-292.pdf https://doi.org/10.32890/jict2024.23.2.4 https://repo.uum.edu.my/id/eprint/31273/ https://e-journal.uum.edu.my/index.php/jict/article/view/23325 https://doi.org/10.32890/jict2024.23.2.4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-classification of Freshness from Leftover-cooked Food
in Malaysian Foods using Machine Learning
by: Wan Nur Fadhlina Syamimi, Wan Azman, et al.
Published: (2023) -
Get spoiled in AUG-ust
by: Anon
Published: (2012) -
Final dive spoils it for Wendy - Dhabitah
by: Singh, Ajitpal
Published: (2017) -
Object detection framework for multiclass food object localization and classification
by: Razali, Mohd Norhisham, et al.
Published: (2018) -
Isolation and characterization of metal and antibiotic resistant psychrotrophic bacteria from refrigerated spoiled food
by: Asadi, Somayeh, et al.
Published: (2014)