With the rapid development of cloud computing, edge computing, and deep learning
technologies, the implementation of soft sensor modeling within a cloud-edge collaboration …

The optimization of operating conditions in the polyester polymerization process is crucial for
enhancing the quality of the resulting polyester. A novel multi-objective optimization …

Complex industrial production processes often involve multiple product quality indicators
that are interrelated. There exists a complex nonlinear mapping relationship between the …

The precise prediction of tumbler strength is of great significance to provide high-quality
sinter products for the downstream blast furnace ironmaking process. However, most of the …

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from unscheduled
maintenance or abnormal shutdown due to the fault of their interior sensor system …

Due to the inaccuracy and significant disturbance of the complex and harsh environment in
real industrial processes, the traditional sensor devices cannot meet the high-performance …

Soft sensor, as a significant intelligent inspection technology, has been widely used in
modern process industries to achieve effective monitoring and prediction of product quality …

Soft sensors have been widely applied to predict key variables that are difficult to measure
for industrial process modeling. In this paper, a novel randomized interval type-2 fuzzy …

Traditional industrial production processes, such as nonferrous metallurgy, are mostly based
on complex, cascading, large-scale equipment. Many soft sensing approaches are rendered …

Accurate measurement of key quality variables is of great significance for evaluating product
quality and ensuring production safety. How to extract useful dynamic latent features from …