A Review of Attention-Enhanced GRU Models with STL Decomposition for Food Loss Forecasting

Forecasting food loss with high accuracy is crucial for improving global food security, optimising supply chains, and supporting sustainability goals. However, conventional time series models and standard deep learning techniques, including recurrent neural networks (RNNs), often fall short in handl...

Full description

Bibliographic Details

Main Authors:	Ru Poh, Tan, Siew Mooi, Lim, Kuan Yew, Leong, Shee Chia, Lee, Siaw Hong, Liew, Jun Kit, Chaw
Format:	Article
Language:	en
Published:	The Science and Information (SAI) Organization Limited 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/49868/3/A%20Review.pdf http://ir.unimas.my/id/eprint/49868/ https://thesai.org/Publications/ViewPaper?Volume=16&Issue=9&Code=IJACSA&SerialNo=38
Tags:	Add Tag No Tags, Be the first to tag this record!