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 ...
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 ...
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) ...
If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...
Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...
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How a new forecasting model accurately predicted the outcome of the 2024 presidential election
A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...
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