The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Complex networks with time-varying parameters nodes are of considerable interest in many areas of science, engineering and nature. Reconstructing networks with unknown but bounded time-varying parameters nodes from limited measured information is desirable and of significant interest for using and controlling these networks. Based on the Lasso method and the Taylor expansion approximation, we develop...
To classify and predict epilepsy seizure, visibility graph method is applied to analyze epileptic EEG. This stragety transform EEG time series to a complex network, and then EEG time series is analyzed from network topology and statistical characteristics. This paper devotes to classify epileptic EEG in ictal and interictal period and predict epilepsy seizure using visibility graph with sliding window...
Granular materials (e.g., geological materials, powders and grains) when subjected to shear or compression deform through grain rearrangements. The structural topology of the grains, or fabric, can be usefully represented as a complex (contact) network whereby network nodes correspond to individual grains and network links correspond to grain contacts. Properties of each node (e.g., degree) can be...
Complex networks have found widespread real-world applications. One of the key problems in research of complex networks is topology identification, which is concerned with deciding the interaction patterns from observed dynamical time series. This presents a very challenging problem, especially in the absence of the knowledge of nodal dynamics and in the presence of system noise. In this paper a simple...
This research focuses on nonlinear behaviors of Internet traffic the on the model of scale-free networks. Attractiveness parameter, which denotes the index with great influence on the behaviors and performance of system, is considered. It is shown that traffic exhibits the phase transition, scaling and 1/f-type in the power spectrum when the load of network increases, further, the nonlinear behaviors...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.