Zobrazeno 1 - 7
of 7
pro vyhledávání: '"M. T. Beig"'
Publikováno v:
Materials Research Innovations. 26:351-356
In this study, nanocrystalline Ni100-xCux alloy films have been synthesised using DC magnetron co-sputtering under argon gas atmosphere to analyse their superparamagnetic behaviour. The nanocrystal...
Publikováno v:
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon).
Mathematical models which can aid academic assessment of students have the potential to improve the delivery of education and learning. Such models can be utilized to find out the quality of learning and influencing factors. These insights enable sta
Publikováno v:
Journal of Statistical Physics. 160:466-476
The mean field for a complex network consisting of a large but finite number of random two-state elements, \(M\), has been shown to satisfy a nonlinear Langevin equation. The noise intensity is inversely proportional to \(\sqrt{M} \). In the limiting
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Publikováno v:
Physica A: Statistical Mechanics and its Applications. 392:5663-5672
The fundamental connection between fractional calculus and subordination processes is explored and affords a physical interpretation of a fractional trajectory, that being an average over an ensemble of stochastic trajectories. Heretofore what has be
We study the joint action of the non-Poisson renewal events (NPR) yielding Continuous Time Random Walk (CTRW) with index alpha < 1 and two different generators of Hurst coefficient H not equal to 0.5, one generating fractional Brownian motion (FBM) a
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bebb65755eeec76d47c5694f54e3732c
Publikováno v:
Physical review. E, Statistical, nonlinear, and soft matter physics. 91(1)
We study a nonlinear Langevin equation describing the dynamic variable X(t), the mean field (order parameter) of a finite size complex network at criticality. The conditions under which the autocorrelation function of X shows any direct connection wi