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 …

Numeral recognition plays a crucial role in creating automated systems such as posting
address sorting and license plate recognition. Nowadays, numeral recognition systems …

Automatic epilepsy detection is of great significance for the diagnosis and treatment of
patients. Most detection methods are based on patient-specific models and have achieved …

An evolving intelligent system (EIS) is able to self-update its system structure and meta-
parameters from streaming data. However, since the majority of EISs are implemented on a …

The abnormality of system behavior is inevitable in cloud computing because of its
complexity and scale. How to perform anomaly detection on the system's operating data to …

In this paper, a novel noncontact and nonintrusive framework experimental method is used
for the monitoring and the diagnosis of a three phase's induction motor faults based on an …

Due to the fast, dynamic, and continuous arrival of data streams in the green Internet of
Things (IoT) environment, the probability distribution of data streams changes over time. In …

Biometric technology knows a large attention in the recent years. In the biometric security
systems, the personal identity recognition depends on their behavioral, biological or …

The ongoing growth of the Internet of Things and machine learning technology have
provided increased motivation for the development of smart healthcare. In this study, a …