Results 111 to 120 of about 1,879,580 (356)

Near‐Sensor Analog Computing via Monolithic 3D Piezoelectric Sensor–FeFET for Tactile Sensing System

open access: yesAdvanced Functional Materials, EarlyView.
A monolithic 3D‐integrated tactile system combines a piezoelectric sensor and ferroelectric field‐effect transistor (FeFET) to process both static and dynamic pressure signals directly at the sensor node. The system enables in‐sensor analog noise filtering with multi‐level memory states, achieving high sensitivity and ultra‐low power operation (≈10 nW),
Woongjin Kim   +6 more
wiley   +1 more source

The Dynamics of Interfacial Trap States in High‐Detectivity Near‐Infrared Photomultiplication Organic Photodetectors

open access: yesAdvanced Functional Materials, EarlyView.
Photomultiplication organic photodetectors (PM OPDs) are an attractive strategy for health‐monitoring. Here, PM‐OPDs are reported with a specific detectivity of 5.7 × 1012 Jones and external quantum efficiency values of 3500% under −10 V. The dynamics of carrier trapping in these devices are elucidated through trap selective spectroscopical techniques.
Marie Houot   +9 more
wiley   +1 more source

Removing Impulse Bursts from Images by Training-Based Filtering

open access: yesEURASIP Journal on Advances in Signal Processing, 2003
The characteristics of impulse bursts in remote sensing images are analyzed and a model for this noise is proposed. The model also takes into consideration other noise types, for example, the multiplicative noise present in radar images. As a case study,
Astola Jaakko   +4 more
doaj   +1 more source

Optical solitons in the Sasa�Satsuma model with multiplicative noise via Ito calculus

open access: yesUkrainian Journal of Physical Optics, 2022
E. Zayed   +7 more
semanticscholar   +1 more source

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner   +9 more
wiley   +1 more source

SAR image denoising method based on sparse representation

open access: yesThe Journal of Engineering, 2019
The coherent nature of radar illumination causes the speckle effect, which gives the synthetic aperture radar (SAR) image its noisy appearance. The probability distribution of speckle noise is multiplicative rather than additive, which makes the ...
Hao-Tian Zhou   +3 more
doaj   +1 more source

A Second-Order Stochastic Leap-Frog Algorithm for Langevin Simulation [PDF]

open access: yes, 2000
Langevin simulation provides an effective way to study collisional effects in beams by reducing the six-dimensional Fokker-Planck equation to a group of stochastic ordinary differential equations.
Habib, Salman, Qiang, Ji
core   +2 more sources

Unraveling the Heterogeneity of Cargo Distribution in the Exogenous Association of Proteins With Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
We characterized the distribution of cargo proteins associated with extracellular vesicles using various exogenous loading methods. In all cases, single‐particle analysis revealed that the distribution of protein content per EV is heterogeneous, following an exponential decay function.
Karl Normak   +6 more
wiley   +1 more source

Analyzing multiplicative noise effects on Manakov's model via the new extended direct algebraic method

open access: yesResults in Engineering
This paper investigates the impact of multiplicative noise on the stochastic Manakov's model, which serves as a core framework in nonlinear optics and fibre communication systems.
Muhammad Idrees Afridi, Shabbir Hussain
doaj   +1 more source

A Scale Mixture Perspective of Multiplicative Noise in Neural Networks

open access: yes, 2015
Corrupting the input and hidden layers of deep neural networks (DNNs) with multiplicative noise, often drawn from the Bernoulli distribution (or 'dropout'), provides regularization that has significantly contributed to deep learning's success.
Anandkumar, Anima   +2 more
core  

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