Comparatively, the XGBoost model had the highest predictive performance among four models with an area under the curve (AUC) of 0.824 (95% CI 0.7766-0.8708), whereas support vector machine had the ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
The area under the curve values for the symptom prediction model ranged from 0.58 for the UCLA Loneliness Scale to 0.71 for the Patient Health Questionnaire-9. Engagement with the scheduled app ...
Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...
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