By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...
Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...
Abstract: Background: Accurately predicting drug release from liposomal nano-anticancer drugs is crucial for optimizing therapeutic efficacy and patient compliance. Traditional release kinetics models ...