Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

A novel behavioural task that measures and manipulates subjective control in humans reveals that experimentally heightened feelings of control buffer against the negative impact of subsequent stress.

Abstract: A sequential pseudospectral model predictive control (SPMPC) method is proposed for nonlinear optimal midcourse guidance with a general performance index. First, the optimal midcourse ...

Abstract: Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit parametric models.

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...