Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

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

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Participants were presented with polyphonic music made of two monophonic streams (PolyOrig condition), with control stimuli where the average pi ...

Background/Aims The neuroprotective effect of nicotinamide (NAM) supplementation has been demonstrated in both animal models ...

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

A recent study suggests that the news media sources cited across the English version of Wikipedia have a moderate but ...