Sensors
Enhancing Reliability of Data-driven Soft Sensors for Industrial Processes
Researchers at Zhejiang University have made significant contributions to the field of data-driven soft sensors, proposing two new models to improve their reliability and robustness in industrial chemical processes. The study, published in the journal Computers & Chemical Engineering, presents a solution to the issue of noise and outliers in