This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

The rapid rise of artificial intelligence (AI) technology has revolutionized numerous fields,
with its applications spanning finance, engineering, healthcare, and more. In recent years …

In this paper, the most influential parameters (numerical and operating parameters) affecting
the performance of fluidized bed reactors are studied. The investigated parameters are …

In the last three decades, artificial intelligence (AI) has been increasingly and vigorously
utilized for process control in chemical, biochemical, and biomedical engineering. These …

This study investigates using deep reinforcement learning (DRL) with proportional-integral-
derivative (PID) control for temperature cascade control in a fluidized bed reactor within a …

The milling process is a complex phenomenon dependent on various technological and
material parameters. The development of a fluidized bed jet milling model is of high practical …

This is a detailed review on olefin polymerization models, and the most recent process
control approaches used to control these nonlinear systems are presented. Great focus has …

Integrating different influencing aspects in Ziegler-Natta catalyzed gas-phase polymerization
industrial fluidized bed reactors (FBRs) is challenging and requires new modeling …

A dynamic model for ethylene copolymerization in an industrial Fluidized-Bed Reactor (FBR)
is developed to describe its behavior and calculate the properties of polyethylene. The …

A set of hydrodynamic similarity laws is applied to the scale-up of ethylene polymerization
fluidized bed reactors (FBRs) under the condensed mode operation. The thermal stability of …