A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.
Abstract: The emergence of homotopic path planning and tracking has shown great promise for cooperative swarm control. However, existing implementations lack efficient mechanisms for ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...