Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...
Morning Overview on MSN
Manchester team builds ML models for stable molecular simulations at high heat
Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
Morning Overview on MSN
AI model flags record dipole moments in unexpected diatomic molecules
A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole moments, several of them in combinations that chemists had not seriously ...
Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...
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