In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …

The sewage treatment system based on particle swarm optimization algorithm to improve
energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm …

Intelligent Manufacturing 5.0 of multipulse rectifier systems requires them to be optimized for
a variety of use in transportation and factories producing hearty touch technology. The …

Just-in-time Learning (JITL) is a soft measurement method commonly used in industrial
processes, which can update local models in real-time to solve the problem of inaccurate …

Principal component regression (PCR), partial least squares regression (PLSR), and locally
weighted partial least squares (LW-PLS) models are supervised learning methods in which …

Soft sensors based on deep learning have been growing in industrial process applications,
inferring hard-to-measure but crucial quality-related variables. However, applications may …

Real-time monitoring of quality index especially energy consumption is of great significance
to improve energy efficiency and save energy. In ethylene distillations, the energy …

Infiltration is the process by which water enters the soil, and it plays a significant role in the
hydrologic cycle. Direct measurement of infiltration is time consuming; however, empirical …

Abstract Just-in-Time-Learning (JITL) is one of the most frequently used adaptive methods in
data-based soft sensor design for chemical processes. While JITL is an effective method to …

In modern industrial process control, just-in-time learning (JITL)-based soft sensors have
been widely applied. An accurate similarity measure is crucial in JITL-based soft sensor …