Analyzing Machine Learning Models for Demand Forecasting in Fast-Moving Consumer Goods on Responsible Consumption and Production. Yap, J. Y., Kuan, Y. J., Subramanian, P., Tan, L. J., & Moosavi, M. In 2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), pages 1–6, Kota Kinabalu, Malaysia, August, 2025.
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Paper doi bibtex
Paper doi bibtex @inproceedings{yap_analyzing_2025,
address = {Kota Kinabalu, Malaysia},
title = {Analyzing {Machine} {Learning} {Models} for {Demand} {Forecasting} in {Fast}-{Moving} {Consumer} {Goods} on {Responsible} {Consumption} and {Production}},
url = {https://artsetmetiers.hal.science/hal-05442664v1/file/LISPEN_IICAIET_2025_MOOSAVIv2.pdf},
doi = {10.1109/IICAIET67254.2025.11265632},
booktitle = {2025 {IEEE} {International} {Conference} on {Artificial} {Intelligence} in {Engineering} and {Technology} ({IICAIET})},
author = {Yap, J. Y. and Kuan, Y. J. and Subramanian, P. and Tan, L. J. and Moosavi, M.},
month = aug,
year = {2025},
keywords = {Testing, Reviews, Machine learning algorithms, Business, demand forecasting, Demand forecasting, fast-moving consumer goods, Industries, Long short term memory, machine learning, Production, Supervised learning, Tuning},
pages = {1--6},
}Downloads: 0
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