Results 111 to 120 of about 358,991 (308)

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Estimation functions and uniformly most powerful tests for inverse Gaussian distribution [PDF]

open access: yes, 2003
summary:The aim of this article is to develop estimation functions by confidence regions for the inverse Gaussian distribution with two parameters and to construct tests for hypotheses testing concerning the parameter $\lambda $ when the mean parameter $\
Tunaru, Radu, Vladimirescu, Ion
core  

Nonlinear spectral unmixing of hyperspectral images using Gaussian processes [PDF]

open access: yes, 2012
This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components ...
Altmann, Yoann   +5 more
core   +1 more source

Generating Augmented Quaternion Random Variable With Generalized Gaussian Distribution

open access: yesIEEE Access, 2018
There is a need to generate quaternion valued processes with a given distribution ranging from super-Gaussian, Gaussian to sub-Gaussian with different degrees of properness for numerous practical applications, such as modeling the signal source, testing ...
Robert Krupinski
doaj   +1 more source

A Characterization of the Inverse Gaussian Distribution

open access: yesThe Annals of Mathematical Statistics, 1962
M. C. K. Tweedie [2] defined the inverse Gaussian distributions via the density functions \begin{equation*}\tag{1}f(x; m, \lambda)= \lbrack\lambda/(2\pi x^3)\rbrack^{\frac{1}{2}} \exp \lbrack -\lambda(x - m)^2/(2m^2x)\rbrack\quad\text{for}\quad x > 0 = 0\quad\text{for} x \leqq 0\end{equation*} The parameters $\lambda$ and $m$ are positive.
openaire   +3 more sources

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

open access: yesAdvanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee   +16 more
wiley   +1 more source

Models for Heavy-tailed Asset Returns [PDF]

open access: yes
Many of the concepts in theoretical and empirical finance developed over the past decades – including the classical portfolio theory, the Black-Scholes-Merton option pricing model or the RiskMetrics variance-covariance approach to VaR – rest upon the ...
Rafal Weron, Szymon Borak, Adam Misiorek
core   +3 more sources

The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications

open access: yesInternational Journal of Distributed Sensor Networks, 2014
In emerging mobile aggregation applications (e.g., large-scale mobile survey), individual privacy is a crucial factor to determine the effectiveness, for which the noise-addition method (i.e., a random noise value is added to the true value) is a simple ...
Hao Zhang, Nenghai Yu, Honggang Hu
doaj   +1 more source

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