Mixing is a ubiquitous operation in process engineering. It is not only used for combining
materials, but also for promoting heat and mass transfer, increasing aeration, suspending …

Increasing data-driven soft sensors have been adopted to online predict the quality indices
in polymerization processes to improve the availability of measurements and efficiency …

Since the early 2010s, after decades of premature excitement and disillusionment, the field
of artificial intelligence (AI) is experiencing exponential growth, with massive real-world …

Quality in a manufacturing process implies that the performance characteristics of the
product and the process itself are designed to meet specific objectives. Thus, accurate …

Battery cells are central components of electric vehicles determining their operational
characteristics, such as driving range, power output, and safety. Automotive OEMs …

In internal rubber‐mixing processes, data‐driven soft sensors have become increasingly
important for providing online measurements for the Mooney viscosity information …

Although several data-driven soft sensors are available, online reliable prediction of the
Mooney viscosity in industrial rubber mixing processes is still a challenging task. A robust …

In industrial rubber mixing processes, the quality index (ie, Mooney viscosity) cannot be
online measured directly. Traditional data-driven empirical models for online prediction of …

In rubber extrusion, precise temperature control is critical due to the process's sensitivity to
fluctuating parameters like compound behavior and batch-specific material variations. Rapid …

Online property prediction in industrial rubber mixing processes is not an easy task. An
efficient data‐driven prediction model is developed in this work. The regularized extreme …