Model predictive control (MPC) has emerged as a pivotal strategy in the control of complex industrial, automotive and energy systems. By solving an optimisation problem over a finite horizon, MPC ...

Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Predictive models can also latch onto patterns that don’t hold up to new data, so be wary of outputs when your company has ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...