Zobrazeno 1 - 10
of 130
pro vyhledávání: '"José M Amigó"'
Autor:
Yoshito Hirata, José M Amigó, Yoshiya Matsuzaka, Ryo Yokota, Hajime Mushiake, Kazuyuki Aihara
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0158572 (2016)
Identifying causal relations from time series is the first step to understanding the behavior of complex systems. Although many methods have been proposed, few papers have applied multiple methods together to detect causal relations based on time ser
Externí odkaz:
https://doaj.org/article/378b7eeddf7f422d830158fad0c4261c
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e60343 (2013)
A striking characteristic of the past four influenza pandemic outbreaks in the United States has been the multiple waves of infections. However, the mechanisms responsible for the multiple waves of influenza or other acute infectious diseases are unc
Externí odkaz:
https://doaj.org/article/17fd50864090496784b2327848343b39
Autor:
José M. Amigó, Piergiulio Tempesta
Publikováno v:
Entropy, Vol 24, Iss 12, p 1797 (2022)
In the last several years, a new approach to information theory, called information geometry, has emerged [...]
Externí odkaz:
https://doaj.org/article/9879d4bd15cd4f539912f05af5bcbe6b
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11176 (2022)
In recent years, Active Queue Management (AQM) mechanisms to improve the performance of TCP/IP networks have acquired a relevant role. In this paper, we present a simple and robust RED-type algorithm together with a couple of dynamical variants with
Externí odkaz:
https://doaj.org/article/09540200d9d34ac9872dd5bfc992b03c
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5877 (2021)
Formal modeling is considered one of the fundamental phases in the design of network algorithms, including Active Queue Management (AQM) schemes. This article focuses on modeling with Petri nets (PNs) a new scheme of AQM. This innovative AQM is based
Externí odkaz:
https://doaj.org/article/1c0b49c95fb0428ea7ef158fb11e694b
Autor:
Yoshito Hirata, José M. Amigó
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 33
Discretizing a nonlinear time series enables us to calculate its statistics fast and rigorously. Before the turn of the century, the approach using partitions was dominant. In the last two decades, discretization via permutations has been developed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::112c6f8563ab8893f46062f1fdab802c
https://doi.org/10.1063/5.0146022
https://doi.org/10.1063/5.0146022
Autor:
Adrián Hernández, José M. Amigó
Publikováno v:
Entropy, Vol 23, Iss 3, p 283 (2021)
Deep learning models and graphics processing units have completely transformed the field of machine learning. Recurrent neural networks and long short-term memories have been successfully used to model and predict complex systems. However, these clas
Externí odkaz:
https://doaj.org/article/d5c9016c21fc4ce7904dc78401e575ec
Autor:
José M. Amigó, Ángel Giménez
Publikováno v:
Entropy, Vol 22, Iss 10, p 1136 (2020)
The main result of this paper is a proof using real analysis of the monotonicity of the topological entropy for the family of quadratic maps, sometimes called Milnor’s Monotonicity Conjecture. In contrast, the existing proofs rely in one way or ano
Externí odkaz:
https://doaj.org/article/e87f563a8cf141eaa8b5d8af25dc06ad
