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 …

Foodborne pathogens such as Salmonella, Escherichia coli and Listeria pose significant
risks to human health. The World Health Organization estimates that 2.2 million deaths per …

Abstract Background Large Language Models (LLMs) are increasingly significant in food
science, transforming areas such as recipe development, nutritional analysis, food safety …

In this research, we present an advanced predictive framework designed to assess the
turbulence induced by low-level wind shear near the runways at Hong Kong International …

The increasing prevalence of Diabetes Mellitus (DM) as a global health concern highlights
the paramount importance of accurately predicting its progression. This necessity has …

Tabular data is the most prevalent form of structured data, necessitating robust models for
classification and regression tasks. Traditional models like eXtreme Gradient Boosting …

Urban blight has become a pressing concern for cities across the globe. The presence of
blight leads to functional, social, and economic depreciation, lowering community wellbeing …

目的基于多源异构数据构建肉类食品安全风险评级模型. 方法依据2020—2023
年肉类监督抽查数据, 食品召回数据, 实验室管理系统数据和行政处罚数据等多源异构数据 …