Zobrazeno 1 - 10
of 857
pro vyhledávání: '"Livina V"'
We introduce a technique of time series analysis, potential forecasting, which is based on dynamical propagation of the probability density of time series. We employ polynomial coefficients of the orthogonal approximation of the empirical probability
Externí odkaz:
http://arxiv.org/abs/1212.4090
We show the existence of a competition-induced resonance effect for a generic globally coupled bistable system. In particular, we demonstrate that the response of the macroscopic variable to an external signal is optimal for a particular proportion o
Externí odkaz:
http://arxiv.org/abs/1001.2993
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
We study the statistics of the recurrence times between earthquakes above a certain magnitude M$ in California. We find that the distribution of the recurrence times strongly depends on the previous recurrence time $\tau_0$. As a consequence, the con
Externí odkaz:
http://arxiv.org/abs/physics/0410274
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2012 Mar . 370(1962), 1185-1204.
Externí odkaz:
https://www.jstor.org/stable/41348438
Full-Cycle Failure Analysis Using Conventional Time Series Analysis and Machine Learning Techniques.
Autor:
Billuroglu, B., Livina, V. N.
Publikováno v:
Journal of Failure Analysis & Prevention; Jun2022, Vol. 22 Issue 3, p1121-1134, 14p
The exposure of critical transport infrastructure to natural hazards and climate change effects has severe consequences on world economies and societies and, thus, safety and resiliency of transport networks are of paramount importance. The currently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______305::4ff8334931132f8b0f701dd38519e934
https://surrey.eprints-hosting.org/858554/
https://surrey.eprints-hosting.org/858554/
The exposure of critical transport infrastructure to natural hazards and climate change effects has severe consequences on world economies and societies and, thus, safety and resiliency of transport networks are of paramount importance. The currently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______305::82db1f59320cd63821520d042fdc9154
https://surrey.eprints-hosting.org/857977/
https://surrey.eprints-hosting.org/857977/