The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …

This paper presents a literature review of reinforcement learning (RL) and its applications to
process control and optimization. These applications were evaluated from a new …

Condition monitoring of industrial equipment, combined with machine learning algorithms,
may significantly improve maintenance activities on modern cyber-physical production …

The recent advances in information management systems coupled with machine learning
algorithms paved the way for a significant revolution in animal healthcare industries …

Physiochemical properties of pure components serve as the basis for the design and
simulation of chemical products and processes. Models based on the molecular structural …

For the ionic liquid (IL)‐solute systems of broad interest, a deep neural network based
recommender system (RS) for predicting the infinite dilution activity coefficient (γ∞) is …

Ionic liquids (ILs) could find use in almost every chemical process due to their wide spectrum
of unique properties. The crux of the matter lies in whether a task-specific IL selection from …

Through the exogenous growth model, the inflow of international investments promotes
economic growth by the inclusion of foreign technologies in production functions and capital …

Fluidized beds are central to numerous applications such as drying, combustion,
gasification, pyrolysis, CO 2 utilization, mixing, and separation. The design and development …

As one of the most important indexes of coal quality, accurate and rapid prediction of ash
content is urgent and important significance for the coal processing industry. In this work …