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 …

Background The maintenance of food safety standards is crucial for protecting public health
and the economic integrity of the food industry. Artificial Intelligence (AI) is a groundbreaking …

In recent years, major advances in artificial intelligence (AI) have led to the development of
powerful AI systems for use in the field of nutrition in order to enhance personalized dietary …

Food safety risk prediction is crucial for timely hazard detection and effective control. This
study proposes a novel risk prediction method for food safety called TabNet-GRA, which …

Background The intersection of nutrition and technology gave birth to the research of food
recommendation system (FRS), which marked the transformation of traditional diet to a more …

Nowadays, retailers try to optimize the shopping experience for consumers by offering
personalized services. Recommending food options, ie providing consumers suggestions …

Families of individuals with neurodevelopmental disabilities or differences (NDDs) often
struggle to find reliable health information on the web. NDDs encompass various conditions …

The extensive range of food safety standards poses a significant challenge to efficiently
accessing specific information within this domain, necessitating innovative solutions to …

Food recommendation systems are becoming increasingly vital in modern society, given the
fast-paced lifestyle and diverse dietary habits. Existing research and implemented solutions …

In recent years, MKR has attracted increasing attention due to its ability to enhance the
accuracy of recommendation systems through cooperation between the RS tasks and the …