Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

在主, 客观世界普遍存在的不确定性中, 随机性和模糊性是最重要的两种形式.
研究了随机性和模糊性之间的关联性, 统一用熵作为客观事物和主观认知中不确定状态的度量 …

This paper reviews the most relevant works that have investigated robustness in power grids
using Complex Networks (CN) concepts. In this broad field there are two different …

近年来, 真实网络中小世界效应和无标度特性的发现激起了物理学界对复杂网路的研究热潮.
复杂网络区别于以前广泛研究的规则网络和随机网络最重要的统计特征是什么 …

Smart grids are electric networks that employ advanced monitoring, control, and
communication technologies to deliver reliable and secure energy supply, enhance …

We propose a novel epidemic model based on two-layered multiplex networks to explore
the influence of positive and negative preventive information on epidemic propagation. In …

This paper presents a method for quantifying and enabling the resiliency of a power
distribution system using analytical hierarchical process and percolation theory. Using this …

How to understand the propagation properties of infectious diseases among the population
is an important topic in the field of epidemic modelling. In this paper, we investigate the …

Since the discovery of small-world and scale-free networks the study of complex systems
from a network perspective has taken an enormous flight. In recent years many important …

In this paper, the problem of generalized state estimation for an array of Markovian coupled
networks under the round-Robin protocol (RRP) and redundant channels is investigated by …