Water is a resource essential for life, as valuable as it is limited. For this reason, and especially in contexts of water ...

A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...

A new AI model mimics human thinking with striking accuracy, even in unfamiliar scenarios. Researchers at Helmholtz Munich ...

The control performance of traditional model predictive control (MPC) usually deteriorates dramatically with the permanent magnet synchronous motor (PMSM) parameter changes in operation, leading to ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

Supercritical fluid extraction (SCFE) has emerged as a promising strategy for recovering critical battery metals from end-of-life lithium-ion batteries (LIBs), offering a sustainable alternative to ...

This article presents a deep bilinear Koopman model predictive control (DBKMPC) approach for modelling and control of unknown nonlinear systems. The bilinear model, which has the computational speed ...

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...