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

Detecting fatigue driving from electroencephalogram (EEG) signals constitutes a
challenging problem of continuing interest since fatigue driving has caused the majority of …

Huge volumes of textual information has been produced every single day. In order to
organize and understand such large datasets, in recent years, summarization techniques …

The advent of the Internet has led to the emergence of online advertising, which has
benefited marketing organizations of all sizes. However, the emergence of digital natives as …

Driver fatigue is an important contributor to road accidents, and driver fatigue detection has
attracted a great deal of attention on account of its significant importance. Numerous …

The spatio-temporal features of the velocity field of a fully-developed turbulent channel flow
are investigated through the natural visibility graph (NVG) method, which is able to fully map …

The heterogeneous nature of a complex network determines the roles of each node in the
network that are quite different. Mechanisms of complex networks such as spreading …

Abstract The Steady State Visual Evoked Potential (SSVEP)-based Brain Computer Interface
(BCI) system has seen extensively applications in many fields, such as physical recovery of …

Due to the inherent disturbances associated with flow structures, measurement of the
complicated flow parameters in multiphase flows remains a challenging problem of …

Well-established automatic analyses of texts mainly consider frequencies of linguistic units,
eg letters, words, and bigrams. In a recent, alternative approach, medium and large-scale …