In this article we provide a review of geometrical methods employed in the analysis of
quantum phase transitions and non-equilibrium dissipative phase transitions. After a …

This study concentrates on the analysis of a stochastic SIC epidemic system with an
enhanced and general perturbation. Given the intricacy of some impulses caused by …

The stochastic resonance phenomenon has been studied experimentally and theoretically
for a state-of-art metal-oxide memristive device based on yttria-stabilized zirconium dioxide …

We investigate the constructive role of an external noise signal, in the form of a low-rate
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …

Memelements play an important part in the design of high density memory systems and low
power memory. In this paper, we created a novel fractional-order chaotic circuit with a …

Multilevel operation is one of the most essential properties for synaptic devices to realize
hardware artificial neural networks. Compliance current (I cc) adjustment is a multilevel …

Given the limitations of von Neumann computing systems, we propose a high-performance
reservoir computing system as an alternative. These systems operate as neural networks …

Rolling element bearings play a critical role in rotating machines with variable speed
conditions, and their fault detection has attracted considerable interest from researchers in …

For both Lévy flight and Lévy walk search processes we analyse the full distribution of first-
passage and first-hitting (or first-arrival) times. These are, respectively, the times when the …

We propose a threshold detector for Lévy-distributed fluctuations based on a Josephson
junction. The Lévy-noise current added to a linearly ramped bias current results in clear …