Public Health Monitoring Based on Food Security Measures in Sustainable Smart City Development Using Machine Learning Techniques
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41976-024-00126-y.pdf
Reference22 articles.
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2. Zhang H, Zhang D, Wei Z, Li Y, Wu S, Mao Z, …, Zhang B (2023) Analysis of public opinion on food safety in Greater China with big data and machine learning. Curr Res Food Sci 6:100468
3. Lin Y, Ma J, Wang Q, Sun DW (2023) Applications of machine learning techniques for enhancing nondestructive food quality and safety detection. Crit Rev Food Sci Nutr 63(12):1649–1669
4. Tutul MJI, Alam M, Wadud MAH (2023) Smart food monitoring system based on iot and machine learning. In 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM). IEEE, pp 1–6
5. Mu W, Kleter GA, Bouzembrak Y, Dupouy E, Frewer LJ, Radwan Al Natour FN, Marvin HJP (2024) Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools. Compr Rev Food Sci Food Saf 23(1):e13296
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