With the availability of big data for food safety, more and more advanced data analysis
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …

Assessing the quality of food and spices is particularly important in ensuring proper human
nutrition. The use of computer vision method as a non-destructive technique in measuring …

This paper presents a Physics-Informed Neural Network-based (PINN-based) surrogate
framework, which can couple time-based moisture concentration and moisture-content …

With the growth in the living standard of people, food safety and quality risk assessment has
gradually become the focus. Therefore, this article realizes the dynamic risk assessment of …

Food safety has a severe impact on the world economy and global health, and improving the
prediction accuracy and prevention ability of food safety risks and hazards protection is of …

Climate-induced flooding makes soil more vulnerable to heavy metal contamination, posing
challenges for soil remediation. Salix has the potential to cope with flooding stress and …

Food safety is important for sustainable social and economic development and people's
health. The traditional single risk assessment model is one-sided to the weight distribution of …

In the microarray-based approach for automated cancer diagnosis, the application of the
traditional k-nearest neighbors kNN algorithm suffers from several difficulties such as the …

This work aims to improve the accuracy of financial crisis early warnings for small and
medium-sized enterprises (SMEs) to help them uncover hidden dangers during the latent …

Grain processing products constitute an essential component of the human diet and are
among the main sources of heavy metal intake. Therefore, a systematic assessment of risk …