This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

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 …

The Maglev process consists in a magnetic field geerated by the modulation of a coil current
which yields the sphere levitation. Foucault current is the current transmitted from the coil to …

The particle filter (PF) technique can model nonlinear degradation features of battery's
system, and conduct battery state estimation based on noisy measurements. However, PF …

Overhead cranes are widely used structures for lifting and conveying heavy loads. The
development of feedback control systems for such equipment is important due to the large …

Over the past decade, high-utility itemset mining (HUIM) has received widespread attention
that can emphasize more critical information than was previously possible using frequent …

Abstract Concept drift is a common and important issue in streaming data analysis and
mining. Thus far, many concept drift detection methods have been proposed but may not be …

In this article, an interval type-2 fuzzy disturbance observer (IT2FDO) is proposed for the
trajectory tracking control of a flexible joint actuated by a pneumatic artificial muscle and a …

Missing values are common in real-world data stream applications. This article proposes a
modified evolving granular fuzzy-rule-based model for function approximation and time …

The spread of Covid-19 misinformation on social media had significant real-world
consequences, and it raised fears among internet users since the pandemic has begun …