Abstract: The model allows the ultrafast nonlinear simulation of the steady-state performance of synchronous machines and is particularly suitable for brushless motors with nonoverlapping windings ...
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Objective: We aimed to establish 2 machine learning models to predict the risk and prognosis of AKD in the elderly and to deploy the models as online apps. Methods: Data on elderly patients with AKI ...
Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...
Abstract: Multi-physics optimization enables one to explore tradeoffs between machine mass (size), and loss, or an objective such as the temperature difference between slot conductors and coolant. To ...
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