Security threats against computer networks and the Internet have emerged as a major and
increasing area of concern for end-users trying to protect their valuable information and …

The capability of fuzzy systems to solve different kinds of problems has been demonstrated
in several previous investigations. Genetic fuzzy systems (GFSs) hybridize the approximate …

Generating both accurate as well as explanatory classification rules is becoming
increasingly important in a knowledge discovery context. In this paper, we investigate the …

This paper presents a neuro-fuzzy (NF) networks based scheme for fault detection and
isolation (FDI) of a U-tube steam generator (UTSG) in a nuclear power plant. Two types of …

In the past decades, medical data mining has become a popular data mining subject.
Researchers have proposed several tools and various methodologies for develo** …

The aim of this study was to determine the accuracy of fuzzy rule‐based classification that
could noninvasively predict CAD based on myocardial perfusion scan test and clinical …

This paper proposes the use of a genetic fuzzy-rule-based classification system for land
cover classification from hyperspectral images. The proposed classifier, namely, Feature …

An efficient filter feature selection (FS) method is proposed in this paper, the SVM-FuzCoC
approach, achieving a satisfactory trade-off between classification accuracy and …

A Boosted Genetic Fuzzy Classifier (BGFC) is proposed in this paper, for land cover
classification from multispectral images. The model comprises a set of fuzzy classification …

The goal of steganalysis algorithms is detection of stego images from clean images. Each
steganography method based on its embedding mechanism puts a special pattern on the …