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Abundant soliton solution for the time-fractional stochastic Gray-Scot model under the influence of noise and M-truncated derivative
In this study, we investigate the abundant soliton solutions for the time-fractional stochastic Gray-Scot (TFSGS) model analytically. The Gray-Scot...
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\(H_\infty \) Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters
Linear, continuous-time state-multiplicative noisy systems are considered. The problem of...
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Noise Profiling for ANNs: A Bio-inspired Approach
Artificial neural networks (ANNs) are potent computational models, which are capable of completing a range of perception-related tasks. However,...
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A novel non-linear neuron model based on multiplicative aggregation in quaternionic domain
The learning algorithm for a three-layered neural structure with novel non-linear quaternionic-valued multiplicative (QVM) neurons is proposed in...
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Study of Multiplicative Load on the Misaligned Rotor-AMB System
This study examines the dynamic response of a two-rotor system under misalignment, imbalance and residual bow. The impact of bow and unbalance on the...
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Deep Learning-Based Suppression of Speckle-Noise in Synthetic Aperture Radar (SAR) Images: A Comprehensive Review
In synthetic aperture radar (SAR) images, the speckle noise is inherent which is in granular form and oftenly defined as a multiplicative nature. Due...
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Orbital-Angular-Momentum-Embedded Massive-MIMO: Achieving Multiplicative Spectrum Efficiency for 6G Communications
By enabling very high bandwidth for radio communications, the millimeter wave (mmWave), which can easily be integrated with massive multiple input...
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Mean-Square Stabilizability of Low-Order Systems Against Correlated Stochastic Multiplicative Uncertainties
The robust stability problems for linear time-invariant systems under stochastic multiplicative uncertainties are tackled in this work. Such...
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A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities
This paper develops a novel copula denoising optimization solution for separating Poisson noise from images, or removing mixtures of Poisson and...
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Overdamped Ising machine with stochastic resonance phenomena in large noise condition
Gain-dissipative Ising machines (GIMs) are dedicated devices that can rapidly solve combinatorial optimization problems. The noise intensity in...
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Noise robust automatic speech recognition: review and analysis
Automatic Speech Recognition (ASR) system is an emerging technology used in various fields such as robotics, traffic controls, and healthcare, etc....
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Non-additive noise reduction in medical images using bilateral filtering and modular neural networks
For the longest time, filters have been proposed to reduce speckle noise present in the medical images for improved visual quality and quantitative...
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Multiplicative, Non-Newtonian Viscoelasticity Models for Rubber Materials and Brain Tissues: Numerical Treatment and Comparative Studies
In many aspects, elastomers and soft biological tissues exhibit similar mechanical properties such as a pronounced nonlinear stress–strain relation...
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Analysis of response to thermal noise in electrostatic MEMS bifurcation sensors
This paper presents an alternative approach to stochastic analysis of nonlinear dynamic systems. It exploits this approach to analyze the response of...
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Modeling and Filtering Colored Noise of a Star Tracker
This paper presents an attitude error model of a star tracker, which is induced from the optical system errors, and proposes an attitude Kalman...
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Vision Based Robust Pose Estimation Using Multiplicative Extended Kalman Filter and Iterative Closest Point
Advanced guidance, navigation, and control algorithms are essential tool in autonomous proximity and docking operation, especially for...
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Reliability of early warning indicators of critical transition in stochastic Van der Pol oscillators with additive correlated noise
We conduct a numerical investigation to assess the effect of noise characteristics on early warning indicators (EWIs) of critical transition in Van...
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PIV-based fast pressure reconstruction and noise prediction of tandem cylinder configuration
The present work proposes a fast and optimized experimental approach for pressure reconstruction and far-field noise prediction for flow past tandem...
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Consensus Analysis of Connected Vehicle System with Stochastic Multiplicative Noises
As an application of the Internet of Things, the connected vehicle system (CVS) plays an important role in smart city. While the vehicles in a CVS...
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Comprehensive Approach for Image Noise Analysis: Detection, Classification, Estimation, and Denoising
Image noise is undesirable that can negatively affect the quality of digital images. It reduces the image quality and increases the processing...