The Fuzzy c-means is one of the most popular ongoing area of research among all types of
researchers including Computer science, Mathematics and other areas of engineering, as …

The aim of this paper is to describe the state-of-the art computer-based techniques for data
analysis to improve operation of wastewater treatment plants. A comprehensive review of …

Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

Increasing demands on effluent quality and loads call for an improved control, monitoring,
and fault detection of waste-water treatment plants (WWTPs). Improved control and …

We introduce an incremental learning method for the optimal construction of rule-based
granular systems from numerical data streams. The method is developed within a …

Clustering is increasingly important for multiview data analytics and current algorithms are
either based on the collaborative learning of local partitions or directly derived global …

Abstract Machine health condition (MHC) prediction is useful for preventing unexpected
failures and minimizing overall maintenance costs in condition-based maintenance. The …

Electric arc furnaces (EAFs) are intended for the recycling of steel scrap. One of the more
important variables in the recycling process is the tapping temperature of the steel. Due to …

We are living in an information age where all our personal data and systems are connected
to the Internet and accessible from more or less anywhere in the world. Such systems can be …