Zobrazeno 1 - 10
of 2 617
pro vyhledávání: '"Visibility graph"'
Autor:
Xhilda Dhamo, Eglantina Kalluçi, Eva Noka, Gérard Dray, Coralie Reveille, Stephane Perrey, Gregoire Bosselut, Darjon Dhamo, Stefan Janaqi
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract We employ Kuramoto model to assess the presence of synchronization in individuals who fulfill a cooperation task. Our input data is a couple of signals obtained from functional Near-Infrared Spectroscopy Data Acquisition and Pre-processing t
Externí odkaz:
https://doaj.org/article/520715063165419c8d7f5c6487cb999c
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
IntroductionAs 5G networks become widespread and their application scenarios expand, massive amounts of traffic data are continuously generated. Properly analyzing this data is crucial for enhancing 5G services.MethodsThis paper uses the visibility g
Externí odkaz:
https://doaj.org/article/8bfb452a934e4818b55cca75300aaba2
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Fossil fuels remain indispensable energy resources despite their non-renewable nature. Understanding the patterns of global fossil fuel consumption is essential for energy security and policy-making. This study employs complex network theory and frac
Externí odkaz:
https://doaj.org/article/81e0a56ad0934d2fb83c00e366180b33
Autor:
Hadis Azizi, Sadegh Sulaimany
Publikováno v:
IEEE Access, Vol 12, Pp 93517-93530 (2024)
A graph approach to time series data provides a new perspective for analyzing and comprehending the characteristics of the data. One common method of converting time series into a graph is through visibility graph analysis. This technique has been de
Externí odkaz:
https://doaj.org/article/52b9ba8cb193405899f1a74181018c4f
Akademický článek
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Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200385- (2024)
In this study, we present a novel graph-based methodology for an accurate classification of cardiac arrhythmia diseases using a single-lead electrocardiogram (ECG). The proposed approach employs the visibility graph technique to generate graphs from
Externí odkaz:
https://doaj.org/article/78f09298e8d24194a1cc7a82847513eb
Publikováno v:
IEEE Access, Vol 12, Pp 75249-75261 (2024)
With the integration of multiple energy sources into the power grid makes power quality disturbances (PQDs) more complex. Dealing with power quality problems requires automatic classification of PQDs. This paper proposes a novel semi-supervised Graph
Externí odkaz:
https://doaj.org/article/1eb6ba9cf7184c599a849e1aebc78b49
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3050-3065 (2024)
Network softwarization, which shifts hardware-centric functions to software implementations, is essential for enhancing the agility of cellular and non-cellular wireless networks. This change, while raising reliability concerns, also improves system
Externí odkaz:
https://doaj.org/article/ef7026b72ab441a291d368c80b49ef67
Autor:
Luciano Telesca, Zbigniew Czechowski
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3197 (2024)
In this study, we examined how the nonlinearity α of the Langevin equation influences the behavior of extremes in a generated time series. The extremes, defined according to run theory, result in two types of series, run lengths and surplus magnitud
Externí odkaz:
https://doaj.org/article/9862074433bf477eb1495a5b9c5a9f45
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Recently, graph theory has become a promising tool for biomedical signal analysis, wherein the signals are transformed into a graph network and represented as either adjacency or Laplacian matrices. However, as the size of the time series increases,
Externí odkaz:
https://doaj.org/article/cd4720b8a53a4e759dc577db74ed6324