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

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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Bibliografiske detaljer
Hovedforfatter: emel mine buğdalı (21421565) (author)
Andre forfattere: Umut Güçlü (18402114) (author), Özlem Güçlü Üstündağ (21421588) (author)
Udgivet: 2025
Fag:
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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