Zobrazeno 1 - 10
of 5 294
pro vyhledávání: '"John, Stewart"'
Autor:
Roy, Om, Campbell-Cousins, Avalon, Carrasco, John Stewart Fabila, Parra, Mario A, Escudero, Javier
Nonlinear dynamics play an important role in the analysis of signals. A popular, readily interpretable nonlinear measure is Permutation Entropy. It has recently been extended for the analysis of graph signals, thus providing a framework for non-linea
Externí odkaz:
http://arxiv.org/abs/2407.07524
We introduce Multivariate Multiscale Graph-based Dispersion Entropy (mvDEG), a novel, computationally efficient method for analyzing multivariate time series data in graph and complex network frameworks, and demonstrate its application in real-world
Externí odkaz:
http://arxiv.org/abs/2405.00518
Autor:
Fabila-Carrasco, John Stewart, Campbell-Cousins, Avalon, Parra-Rodriguez, Mario A., Escudero, Javier
Permutation Entropy ($PE$) is a powerful nonlinear analysis technique for univariate time series. Recently, Permutation Entropy for Graph signals ($PEG$) has been proposed to extend PE to data residing on irregular domains. However, $PEG$ is limited
Externí odkaz:
http://arxiv.org/abs/2309.13083
Autor:
Keshet Ronen, Lincoln C. Pothan, Violet Apondi, Felix A. Otieno, Daniel Mwakanema, Felix O. Otieno, Lusi Osborn, Julia C. Dettinger, Priyanka Shrestha, Helena Manguerra, Ferdinand Mukumbang, Millicent Masinde, Evelyn Waweru, Mercy Amulele, Christine Were, Beatrice Wasunna, Grace John-Stewart, Bryan Weiner, Arianna Rubin Means, Barbra A. Richardson, Anna B. Hedstrom, Jennifer A. Unger, John Kinuthia
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Provision of essential newborn care at home, rapid identification of illness, and care-seeking by caregivers can prevent neonatal mortality. Mobile technology can connect caregivers with information and healthcare worker advice mo
Externí odkaz:
https://doaj.org/article/1ab514e247c248beaa6be70f6aad4608
We introduce a novel method, called Dispersion Entropy for Graph Signals, $DE_G$, as a powerful tool for analysing the irregularity of signals defined on graphs. We demonstrate the effectiveness of $DE_G$ in detecting changes in the dynamics of signa
Externí odkaz:
http://arxiv.org/abs/2303.18079