Explore AI-driven trading, multi-asset support, strong security, and transparent performance data in a regulated platform ...

Abstract: Model predictive control is a widely used approach to the problem of highway local ramp metering problem. The main parameter that affects the computational complexity is the prediction ...

Recursive digital selves underpin targeted advertising, predictive policing, and workplace monitoring. In each case, the ...

A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...

Batch mixing remains the predominant approach in industries where product diversity, regulatory oversight and recipe ...

Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

Scientists in China have created an optimization technique for an electric vehicle charging station that uses PV, battery storage, and a vehicle-to-grid operation. Considering the uncertainty of PV ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...

What are the key factors driving the growth of the Big data platform market? The big data platform market continues to evolve as enterprises prioritize data-driven strategies to remain competitive.