Key market opportunities include the rising prevalence of chronic diseases and increased regulatory approvals driving demand ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
Abstract: The transformer fault diagnosis model based on the improved leapfrog algorithm support vector machine is significantly higher in prediction accuracy than other intelligent optimization ...
Background: Ventricular assist devices (VADs) are an effective treatment for end-stage heart failure and can significantly improve patients' quality of life. However, when the rotational speed of the ...
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PSO Assisted Support Vector Machine Algorithm Towards State of Charge Estimation of Li-ion Batteries
Abstract: This research focuses on the State of Charge (SoC) estimation of Lithium-ion batteries employing the Support Vector Machine (SVM) algorithm. The five hyperparameters of SVM are optimally ...
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