Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.
Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
Abstract: To address the tracking error issue in finite control set model predictive control (FCS-MPC) systems, this article proposes an online optimization MPC ...
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