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

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

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

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

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

It was like being inside a carefully curated museum where you could actually buy and eat the exhibits. Once, when I was in ...

Solid wood dressers that would cost hundreds at antique stores wait patiently for new homes, often priced at $30-60. Coffee tables, end tables, and occasional pieces typically range from $15-40, ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

For many people, the rise of artificial intelligence–generated images has sparked anxiety—about misinformation, deepfakes and ...

Some people might say that Hollywood is making strides in progressive representation. We're seeing more and more people of ...