Zobrazeno 1 - 10
of 260
pro vyhledávání: '"EZAKI, TAKAHIRO"'
Advanced integration of logistics systems has been promoted for the sake of competitiveness and sustainability. Such efforts will enable more globally optimal and flexible operations by efficiently utilizing transportation capacity. At the same time,
Externí odkaz:
http://arxiv.org/abs/2109.02290
Autor:
Ezaki, Takahiro
With regard to the recently published article, ``Y.-Q. Wang, et al., Physical mechanism of equiprobable exclusion network with heterogeneous interactions in phase transitions: Analytical analyses of steady state evolving from initial state, Commun. N
Externí odkaz:
http://arxiv.org/abs/2109.02525
Demand forecasting based on empirical data is a viable approach for optimizing a supply chain. However, in this approach, a model constructed from past data occasionally becomes outdated due to long-term changes in the environment, in which case the
Externí odkaz:
http://arxiv.org/abs/2109.01784
Publikováno v:
Eur. J. Neurosci. 54:5404-5416 (2021)
Recent studies have proposed that one can summarize brain activity into dynamics among a relatively small number of hidden states and that such an approach is a promising tool for revealing brain function. Hidden Markov models (HMMs) are a prevalent
Externí odkaz:
http://arxiv.org/abs/2001.08369
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:
Frontiers in Neuroinformatics, 12, 7 (2018)
The clustering coefficient quantifies the abundance of connected triangles in a network and is a major descriptive statistics of networks. For example, it finds an application in the assessment of small-worldness of brain networks, which is affected
Externí odkaz:
http://arxiv.org/abs/1806.10228
Publikováno v:
In Communications in Transportation Research December 2022 2
Autor:
Ezaki, Takahiro, Masuda, Naoki
Evolutionary game theory predicts that cooperation in social dilemma games is promoted when agents are connected as a network. However, when networks are fixed over time, humans do not necessarily show enhanced mutual cooperation. Here we show that r
Externí odkaz:
http://arxiv.org/abs/1706.04310
Publikováno v:
Phil. Trans. R. Soc. A 375, 20160287 (2017)
Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the en
Externí odkaz:
http://arxiv.org/abs/1611.05137
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.