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 …

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

The problem of cold-chain food safety is becoming increasingly prominent. Cold food chain
risk assessment is an important way to ensure cold-chain food safety. Using CiteSpace, this …

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 …

Food risk analysis technique is of great significance in human health and safety. This paper
investigates the issue of food safety risk identification and early warning based on …

Freshness prediction was a research hotspot in the field of food science. The current
microbial kinetic equations could predict the freshness under certain fixed temperature …

Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore,
an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long …

Food safety problems are becoming increasingly severe in modern society, and establishing
an accurate food safety risk warning and analysis model is of positive significance in …

Food safety is a high-priority issue for all countries. Early warning analysis and risk control
are essential for food safety management practices. This paper innovatively proposes an …

Food safety is a global issue; risk prevention and control of food physical and chemical
testing (PCT) data are critical. However, existing studies have not considered the risk status …