Abstract The Chah Nimeh Reservoirs (CNRs), located in Iran's Sistan region, are critical arid
inland lakes that support agriculture and supply drinking water to the region. A major …

Time series remains one of the most challenging modalities in machine learning research.
Out-of-distribution (OOD) detection and generalization on time series often face difficulties …

Inspired by the idea of deep learning, several latent variable models have been successfully
extended to the deep forms for industrial data analytics. Compared to traditional deep neural …

In the past three decades, proportional‐integral/PI‐differential (PI/PID) controllers and model
predictive controller (MPCs) have predominantly governed complex chemical process …

As industrial practices continue to evolve, complex process industries often exhibit
characteristics such as multivariate correlation, dynamism, and nonlinearity, making …

Objective In recent years, the increase in traffic accidents has emerged as a significant
social issue that poses a serious threat to public safety. The objective of this study is to …

Dissolved oxygen (Do) is a pivotal parameter in appraising water quality, significantly
influencing aquatic ecosystems and aquatic. This study focuses on anticipating dissolved …

With the development of industrial information technology, deep learning (DL) has been
successfully applied in chemical process fault detection. However, the features of incipient …

In the process of medical robot assisted bone milling surgery, the accuracy of recognition of
milling state is crucial for surgical safety. However, previous studies have rarely used neural …

The flow of hydrogen sulfide is a crucial factor influencing the precipitation of heavy metals
in acid wastewater. However, flow regulation in industrial environments often demonstrates …