Explore how AI in food safety improves risk detection, predictive analytics, traceability, cold-chain monitoring, and recall ...

Pollsters and market researchers are using synthetic respondents to fill in for real people. Critics worry the practice could ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

The motivation of this project is to develop a standardised computational approach to designing sample layouts for habitat fragmentations studies. Importantly we propose taking widely used ...

The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some ...