Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Objective Small fibre neuropathy (SFN) is an under-recognised complication of SLE that contributes to chronic pain and ...