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Mar 12, 2020 · This paper investigates the impact of component uncertainties in linear resistive networks, where individual elements are subject to Johnson- ...
This paper investigates the impact of component uncertainties in linear resistive networks, where individual elements are subject to Johnson-Nyquist noise.
We study a Gordon-Newell type of closed queueing network that frequently arises in modeling manufacturing and computer systems. We are concerned with the ...
This paper investigates the impact of component uncertainties in linear resistive networks, where individual elements are subject to Johnson-Nyquist noise.
In this paper we develop a novel approach for analysing the stochastic evolution of a CRN based on the Linear Noise Approximation (LNA) of the CME. We formulate ...
A Noisy Linear Layer is a linear layer with parametric noise added to the weights. This induced stochasticity can be used in reinforcement learning networks.
Missing: Stochastic | Show results with:Stochastic
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This work showed that noise parameters of the electron beam set an ultimate limit to the entire noise performance of the amplifier that employed the beam.
Missing: Stochastic Components.
The LNA approximates the MJP transition density with a Gaussian density whose moments are obtained by numerically solving systems of ODEs (Wilkinson, 2011).
Jun 17, 2021 · Abstract. Stochastic epidemic models (SEMs) fit to incidence data are critical to elucidat- ing outbreak dynamics, shaping response ...
Jul 28, 2021 · Integral feedback suppresses the noise contribution from external disturbance while keeping the intrinsic noise intact to its open-loop value.