Model predictive control (MPC) has emerged as a pivotal strategy for the guidance and navigation of unmanned aerial vehicles (UAVs), marrying optimisation theory with real-time control. By solving a ...

Model predictive control (MPC) has emerged as a leading methodology for steering nonlinear processes by solving a constrained optimisation problem at each sampling instant. By forecasting future ...

For the design of reliable power grounding systems for critical electrical infrastructure, soil resistivity investigation is crucial. However, soil resistivity depends on various geotechnical ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...