Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...
Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart ...
The reason your ensemble implementation fell short of expectations is not because you lack enough models. Rather, it is ...
Producing alloys from recycled metals via secondary synthesis can markedly cut energy use, greenhouse-gas emissions, and dependence on scarce, strategically important elements relative to primary ...
Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...
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