Deep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk DriversDeep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk Driversdatabase_Deep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk Drivers.xlsx

<p dir="ltr">This dataset contains the raw monthly RASFF notification counts related to dairy products between 2001 and 2024, along with selected economic, environmental, social, and technological indicators for five EU countries.<br>The data were compiled to support time-serie...

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Dettagli Bibliografici
Autore principale:	emel mine buğdalı (21421565) (author)
Altri autori:	Umut Güçlü (18402114) (author), Özlem Güçlü Üstündağ (21421588) (author)
Pubblicazione:	2025
Soggetti:	Time-series analysis Food engineering Data engineering and data science Data mining and knowledge discovery Deep learning food safety challenges Predictive Modelling time series classification neural networks Systemic approach food safety Time Series Classification (TCS) deep learning XAI approach data imputation approach RASFF notifications
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