Many real-world systems can be studied in terms of pattern recognition tasks, so that proper
use (and understanding) of machine learning methods in practical applications becomes …

In this paper, a new recursive state estimation problem is discussed for a class of discrete
time-varying stochastic complex networks with uncertain inner coupling and signal …

In this paper, the H_∞ state estimation problem is investigated for a class of complex
networks with uncertain coupling strength and incomplete measurements. With the aid of the …

Hacks are one of the most damaging types of cryptocurrency related crime, accounting for
billions of dollars in stolen funds since 2009. Professional investigators at Chainalysis have …

In order to further improve the convergence performance of data clustering algorithms, a
dynamic shuffled differential evolution algorithm, DSDE for short, is presented in this paper …

Several natural and theoretical networks can be broken down into smaller portions,
henceforth called neighborhoods. The more frequent of these can then be understood as …

The industry chain of industrialized construction is a key strategy for promoting the
sustainable performance of China's construction industry. Its risk identification is the …

Image segmentation has many applications which range from machine learning to medical
diagnosis. In this study, the authors propose a framework for the segmentation of images …

Evolutionary clustering (EC) refers to the applications of evolutionary optimization algorithms
such as genetic algorithm to data clustering. Although multi-objective evolutionary clustering …

Background The etiology of cancer involves a complex series of genetic and environmental
conditions. To better represent and study the intricate genetics of cancer onset and …