With the predicted depletion of natural resources and alarming environmental issues,
sustainable development has become a popular as well as a much-needed concept in …

Support vector machines (SVMs) have recently been used to model the properties of low
volume fly ash self-compacting concrete (LVF-SCC) by means of kernel functions to …

Maintaining stable operation of aerobic granular sludge (AGS) reactors is a challenge due to
the high sensitivity of the biomass to a wide array of parameters, and the frequent changes …

Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …

Industrial grinding circuits are known to be extremely complex and difficult to model. We
present a novel approach for data driven modelling using Recurrent Neural Networks (RNN) …

As an effective means of sensing difficult-to-measure process variables in real time, soft
sensors are widely used but have a few significant limitations. Modeling errors between the …

Energy efficiency and maximum productivity in ore beneficiation processes can be ensured
when integrated grinding circuits function in an optimal fashion. The complexity of first …

The specific surface area of cement is an important index for the quality of cement products.
But the time-varying delay, non-linearity and data redundancy in the process industry data …

This article addresses the issue of outlier detection in industrial data using robust
multivariate techniques and soft sensing of clinker quality in cement industries. Feed-forward …

Soft sensor enables computing parameters that can be physically impossible to measure.
This work aims to develop a soft sensor for raw meal fineness in a vertical roller mill of a …