[HTML][HTML] Reducing Food Waste in Campus Dining: A Data-Driven Approach to Demand Prediction and Sustainability

GF Turker - Sustainability, 2025 - mdpi.com
Tracking density in universities is essential for planning services like food, transportation,
and social activities on campus. However, food waste remains a critical challenge in campus …

Utilizing Internet Big Data and Machine Learning for Product Demand Forecasting and Analysis of Its Economic Benefits

G Rui, M Li - Tehnički vjesnik, 2024 - hrcak.srce.hr
Sažetak In the context of digitalization and big data-driven advancements, the accuracy of
demand forecasting in supply chain management has become a key competitive factor for …

Performance Analysis of Voting Regression-Based Ensemble Learning Methods for Food Demand Forecasting

R Denis, D Keerthana - International Journal of Data Informatics and …, 2024 - ijdiic.com
Accurate demand forecasting has become very significant, especially in the food sector,
since many products have a limited lifespan, and improper management can cause the …

The Development of a Prediction Model Related to Food Loss and Waste in Consumer Segments of Agrifood Chain Using Machine Learning Methods.

D Nijloveanu, V Tița, N Bold, DA Popescu… - Agriculture; …, 2024 - search.ebscohost.com
Food loss and waste (FLW) is a primary focus topic related to all human activity. This
phenomenon has a great deal of importance due to its effect on the economic and social …

Utilizing Internet Big Data and Machine Learning for Product Demand Forecasting and Analysis of Its Economic Benefits.

RUI Guangwei, LI Menggang - Technical Gazette/Tehnički …, 2024 - search.ebscohost.com
In the context of digitalization and big data-driven advancements, the accuracy of demand
forecasting in supply chain management has become a key competitive factor for …